ALBERT

Description: In the social sciences, university departments are the governance units where the demand for and the supply of researchers interact. As a first step towards a formal model of this process, this paper investigates the characteristics of productivity distributions in a unique dataset consisting of 2,530 faculty members with at least one publication who were working in the 81 top world Economics departments in 2007. Individual productivity is measured in two ways: as the number of publications up to 2007, and as a quality index that weights differently the articles published in four journal equivalent classes. The academic age of individuals, measured as the number of years since obtaining a Ph.D. up to 2007, is used to measure productivity per year. Independently of the two productivity measures, and both before and after age normalization, the five main findings of the paper are the following. Firstly, individuals within each department have very different productivities. Secondly, there is not a single pattern of productivity inequality and skewness at the department level. On the contrary, productivity distributions are very different across departments. Thirdly, the effect on overall productivity inequality of differences in productivity distributions between departments is greater than the analogous effect in other contexts. Fourth, to a large extent, this effect on overall productivity inequality is accounted for by scale factors well captured by departments’ mean productivities. Fifth, this high degree of departmental heterogeneity is found to be compatible with greater homogeneity across the members of a partition of the sample into seven countries and a residual category.

Description: This study explores interdisciplinarity evolution of Biochemistry and Molecular Biology (BMB) over a one-hundred-year period on several fronts, namely: change in interdisciplinarity, identification of core disciplines, disciplinary emergence, and potential discipline detection, in order to assess the evolution of interdisciplinarity over time. Science overlay maps and a StreamGraph were used to visualize interdisciplinary evolution. Our study confirms that interdisciplinarity evolves mainly from neighbouring fields to distant cognitive areas and provides evidence of an increasing tendency of BMB researchers to cite literature from other disciplines. Additionally, from our results, we can see that the top potential interdisciplinary relations belong to distant disciplines of BMB; their share of references is small, but is increasing markedly. On the whole, these results confirm the dynamic nature of interdisciplinary relations, and suggest that current scientific problems are increasingly addressed using knowledge from a wide variety of disciplines.

Description: This paper examined the coauthorship patterns of China’s humanities and social sciences (HSS), based on articles and reviews covered by the Social Science Citation Index and the Arts and Humanities Citation Index of the Web of Science. We defined four types of coauthorship as: no collaboration (NOC), national collaboration (NAC), bilateral international collaboration (BIC) and multilateral international collaboration (MIC), and proposed the development phases of China’s HSS as: 1978–1991, 1992–2000 and 2001–present. Accordingly, we explored the evolution of coauthorship patterns by a number of metrics. Findings include: (1) the coauthorship patterns of China’s HSS significantly evolved from NOC to NAC, BIC and MIC; (2) China’s major collaborators had not significantly varied over the past decade, in which USA had always taken the lead (among every four HSS articles of China, one was collaborated with USA); (3) pic (percentage of internationally coauthored articles) was negatively correlated to pnc (percentage of not cited articles); (4) MIC is 1.5 times the CPP (citation per publication) of BIC, 3 times of NAC and 4 times of NOC. Chinese government has been eagerly promoting economic development through science and technology. However, after over 30 years’ growth miracle, Chinese government realized that China’s HSS had been overshadowed, and then initiated prosperity plannings.

Description: Did the demise of the Soviet Union in 1991 influence the scientific performance of the researchers in Eastern European countries? Did this historical event affect international collaboration by researchers from the Eastern European countries with those of Western countries? Did it also change international collaboration among researchers from the Eastern European countries? Trying to answer these questions, this study aims to shed light on international collaboration by researchers from the Eastern European countries (Russia, Ukraine, Belarus, Moldova, Bulgaria, the Czech Republic, Hungary, Poland, Romania, and Slovakia). The number of publications and normalized citation impact values are compared for these countries based on InCites (Thomson Reuters), from 1981 up to 2011. The international collaboration by researchers affiliated to institutions in Eastern European countries at the time points of 1990, 2000 and 2011 was studied with the help of Pajek and VOSviewer software, based on data from the Science Citation Index (Thomson Reuters). Our results show that the breakdown of the communist regime did not lead, on average, to a huge improvement in the publication performance of the Eastern European countries and that the increase in international co-authorship relations by the researchers affiliated to institutions in these countries was smaller than expected. Most of the Eastern European countries are still subject to changes and are still awaiting their boost in scientific development.

Description: In this contribution, we measure how long researchers are willing to wait (WTW) for an editorial decision on the acceptance or rejection of a submitted manuscript. This measure serves as a proxy for the expected value of a publication to a researcher in the field of economic, business and financial history. We analyze how this WTW measure varies with the characteristics of the submitting authors themselves. We distinguish the impact of personal characteristics (including age, gender and geographic location) as well as work-related characteristics (including research discipline, affiliation and academic position). To identify the factors determining economic history authors’ WTW for editorial decisions, we use a valuation technique known as stated choice experiments. Our results show that respondents found the standing of the journal to be at least as important as its ISI impact factor. Moreover, we find differences in publication culture between economic and history departments. Overall, researchers’ willingness to wait is influenced to a greater extent by the research discipline in which the respondents are active (history vs. economics), than by their personal characteristics (e.g. the education or the type of Ph.D. they obtained).

Description: There is a worldwide trend towards application of bibliometric research evaluation, in support of the needs of policy makers and research administrators. However the assumptions and limitations of bibliometric measurements suggest a probabilistic rather than the traditional deterministic approach to the assessment of research performance. The aim of this work is to propose a multivariate stochastic model for measuring the performance of individual scientists and to compare the results of its application with those arising from a deterministic approach. The dataset of the analysis covers the scientific production indexed in Web of Science for the 2006–2010 period, of over 900 Italian academic scientists working in two distinct fields of the life sciences.

Description: This exploratory work sheds light on important functional information characteristics of the system of research collaboration by examining large-scale topological structures of co-authorship networks, created through the affiliative ties of scholarly articles published by collaborating researchers in peer-reviewed journals and conference proceedings. The model adopted in this work to understand the underlying collaboration system incorporates the strengths of collaborative coupling among the researchers. The questions we examine in this work are as follows: (1) What new functional characteristics emerge when combined structural effects of collaborative coupling and large-scale connectivity exist in the networks? (2) What information does a specific closeness distribution of collaborating researchers convey with regard to the flow of knowledge through collaborative activities? (3) What is the temporal dynamics of large-scale structure formation in these networks? The work involves a comparative study of these characteristics using the networks of two countries: India and the US. Our results have important implications for scientometric studies of collaboration research.

Description: Although universities have played an important role in knowledge creation, it is also of concern to see how universities perform in knowledge utilization. In the present article, an effective approach is proposed to evaluate and compare university performance in knowledge utilization for patented inventions. Growth trajectories of the cumulative patent citations to scientific publications produced by individual universities are analyzed by using latent growth modeling. Moreover, we examine how the utilization of scientific knowledge created in 1995 and 2005 is affected by research impact and university–industry collaboration among the universities in Europe, North America, and East Asia. The results indicate that not all top 300 research universities in the world perform well in knowledge utilization for patented inventions. Some policy implications are discussed.

Description: This study prospectively evaluates the accessibility of Internet references in leading general medical journals and explores the impact of their lost accessibility. We identified all original contributions published in five leading peer-reviewed traditional general medical journals and one leading on-line journal that were published at two time points (January 2005 and January 2008). We followed the sample prospectively for 5 years and determined the number of Internet references that remained accessible. Our sample of 165 original contributions contained 154 Internet references. Accessibility to Internet references declined from 51 % after 4 years to 37 % after 8 years in the articles published in January 2005, and decreased from 78 % after 1 year to 44 % after 5 years in the articles published in January 2008. Among those Internet references published in the most highly-cited articles, only 19 % (95 % CI 10–35 %) remained accessible in March 2013. Among the Internet references cited in the Methods section of the articles, only 30 % (95 % CI 20–43 %) remained accessible. Of the 91 Internet references which were no longer accessible at the end of the follow-up period, 39 (43 %) were assigned a rating of either ‘important’ or ‘very important’. Accessibility of Internet references declines substantially over time most often because the information is updated or the sites become unavailable. Accessibility remains poor even among those Internet references that are most important.

Description: Most studies investigating individual achievement in criminology and criminal justice equate total publications with scholarly productivity. The current study sought to broaden the definition of scholarly productivity by incorporating empirical indices of the quantity and quality of scholarly productivity and applying these indices to both total and first author publications. Analyses performed using publication and citation data from the top 100 criminology and criminal justice scholars over the past 5 years revealed that the total number of publications was no substitute for an integrated (quantity and quality) assessment. Results further indicated that averaging across the total publication and first author integrated models seemed to provide the fairest and most balanced assessment of scholarly productivity. It was also noted that compared to non-theoreticians, theoreticians were more likely to publish first author articles and fared significantly better when evaluated against the first author integrated model than when evaluated against the total publications integrated model. Use of these models to assess scholarly productivity in criminology, criminal justice, and other fields may be warranted.

Description: Science has become progressively more complex, requiring greater integration and collaboration between individuals, institutions and areas. Networking research establishes common rules and offers a suitable framework for this cooperation. Therefore, it is a good choice for both scientists and policy-makers. The objective of this study is to know whether the scientists perform better within these structures than outside them. As an example, we analysed the Biomedical Research Networking Centres in Spain and, for the exploratory investigation, we selected two disciplines (Psychiatry and Gastroenterology/Hepatology). The results showed that in every situation of networking research there were higher collaboration and impact rates. Furthermore, the main differences found between disciplines were related to the scope of cooperation, carried out at a more local level in Gastroenterology/Hepatology. Besides, HJ-Biplot technique allowed us to conclude that the outcomes may vary somewhat depending on the types of centres where the scientists work. Although further investigation is needed, the findings of this study might anticipate possible scenarios in which networking research could be the most natural way of collaboration.

Description: This study examines China’s performance on tissue engineering using scientometrics measures such as China’s global publication share, rank, growth rate and citation impact, its publications in various sub-fields, top journals in terms of national share based on last 5 years (2008–2012) publications data obtained from ISI Science citation index expanded database. We have also determined Chinese share with international collaborative papers at the national level, as well as h-core papers and high-cited papers, etc.

Description: The importance of the convergent approach to technology development has increased recently. Therefore, understanding the characteristics of technology convergence, which refers to the combination of two or more technological elements in order to create a new system with new functions, is an important issue not only for researchers in technology development, but also for company directors for their successful management of product competitiveness. Therefore, in order to investigate the patterns and the mechanism of technological convergence, we examine the printed electronics technology which has typical characteristics of technology convergence. Based on the printed electronics-related patents registered between 1976 and 2012, we perform network analysis of the technology components in order to identify key technologies which played a central role among the groups of convergence technologies and to examine their dynamic role corresponding to the development of technology convergence. The results show that control technologies which control the role of other technologies over the technology convergence process play significant role. The centrality value is highest in the case of control technology, and devices related technologies have the largest number of patents quantitatively, thereby confirming the results. In addition, the trajectory analysis of the centrality value reveals a co-evolution pattern in technology convergence.

Description: A new quantitative method is introduced to analyze the collaboration among different organizations. The method defines the collaboration score based on the number of people involved in collaboration, and then the collaboration strength is obtained by summing up the collaboration scores with this method. We choose “Project 985” universities, which represent the top universities in China, as an example to study the collaboration network, strength in leading collaboration and strength in participating collaboration. Results based on Scopus show some characteristics of such collaboration and verify the feasibility of the new approach.

Description: It is shown that the “Jaccardized Czekanowski index” is actually a reinterpretation of the Ružička index. Thereby, it is proved that its one-complement is a true distance function, which makes it particularly suitable for use in similarity studies even with multidimensional statistical techniques.

Description: This paper analyzes more than 30 years of rankings of the best 40 Dutch economists, and examines if performance in terms of weighted publications increased. One of the findings is that over time the differences between top-performers and those lower on the charts decrease, but also that the group of top-performers is small and persistent over the years. Further, the average scores of ranked economists also increase over time. At the same time, new entries usually decrease in the subsequent years. Finally, after 20 years the charts contain 95 % new names and, in general, inclusion in the rankings usually lasts only for about 5 years.

Description: S-curves analysis allows to study evolution and trends in specific technological fields; its theoretical background establishes that in order to achieve the best results the analysis must be done using an independent variable that shows the effort invested in R&D activities and a dependent variable that shows the cumulative performance in that field. Actually, S-curves are built using time as independent variable because of the constraints associated in the search of investment data. This paper examines the use of patent data applications as a sample of effort; using geothermal field as a case study, it was possible to test the relationship of Patent applications and investment ( R -squared, 0.86), in first place, and the construction of S-curves using patent applications count against performance ( R -Squared, 0.947). Results show a high correspondence value and potential of using patent counts to direct technological performance studies.

Description: In psychological research there is huge literature on differences between the sexes. Typically it used to be thought that women were more verbally and men more spatially oriented. These differences now seem to be waning. In this article we present three studies on sex differences in the use of tables and graphs in academic articles. These studies are based on data mining from approximately 2,000 articles published in over 200 peer-reviewed journals in the sciences and social sciences. In Study 1 we found that, in the sciences, men used 26 % more graphs and figures than women, but that there were no significant differences between them in their use of tables. In Study 2 we found no significant differences between men and women in their use of graphs and figures or tables in social science articles. In Study 3 we found no significant differences between men and women in their use of what we termed ‘data’ and ‘text’ tables in social science articles. It is possible that these findings indicate that academic writing is now becoming a genre that is equally undertaken by men and women.

Description: Author co-citation analysis (ACA) was an important method for discovering the intellectual structure of a given scientific field. There was sufficient experience that ACA would work with almost any user data that lent itself to co-occurrence. While most of the current researches still relied on the data of scientific literatures. In this study, in order to provide useful information for better enterprise management, the idea and method of ACA was applied to analyze the information interaction intensity and contents of enterprise web users. Firstly, the development of ACA was briefly introduced. Then the sample data and method used in this study were given. Three QQ groups’ instant messages of a Chinese company were selected as the raw data and the concepts and model of user interaction intensity (UII) were proposed by referring the ACA theory. Social network analysis method, combined with in-deep interview method were used to analyze the information interaction intensity and contents of enterprise users. Operatively, Excel, Ucinet, Pajek, Netdraw and VOSviewer software were combined to analyze them quantitatively and visually. Finally, it concluded that UII model was relatively reasonable and it could nicely measure the information interaction intensity and contents of enterprise web users.

Description: The role of conference proceedings for scientific communication varies among the different research fields. It is thus difficult to determine how to use them in bibliometric studies that cover all or at least a variety of the research fields without favouring or penalizing observation subjects that are specialized in fields that rely heavily on conference proceedings. Also, the coverage of conference proceedings in bibliometric databases is often unclear. Not only have there been reports of misclassification but also of insufficient coverage. In this study, the Web of Science is used to give an overview of coverage of conference proceedings as well as advantages and pitfalls of their usage in bibliometric analyses. In particular, the focus lies on different citation behaviour of and for conference proceedings and the implications for bibliometric indicators. This is complemented by an investigation of the development of coverage and publication behaviour in conference proceedings which is compared to those of journal publications. Finally, the importance but also drawbacks and opportunities of acknowledging conference proceedings publications for bibliometric studies are summarized.

Description: Research that integrates the social and natural sciences is vital to address many societal challenges, yet is difficult to arrange, conduct, and disseminate. This paper compares diffusion of the research supported by a unique U.S. National Science Foundation program on Human and Social Dynamics (“HSD”) with a matched group of heavily cited papers. We offer a measure of the distance of cites between the Web of Science Category (“WoSC”) in which a publication appears and the WoSC of the journal citing it, and find that HSD publications are cited more distantly than are comparison publications. We provide another measure—citation velocity—finding that HSD publications are cited with similar lag times as are the comparison papers. These basic citation distance and velocity measures enrich analyses of research knowledge diffusion patterns.

Description: Defined errors are entered into data collections in order to test their influence on the reliability of multivariate rankings. Random numbers and real ranking data serve as data origins. In the course of data collection small random errors often lead to a switch in ranking, which can influence the general ranking picture considerably. For stabilisation an objective weighting method is evaluated. The robustness of these rankings is then compared to the original forms. Robust forms of the published Shanghai top 100 rankings are calculated and compared to each other. As a result, the possibilities and restrictions of this type of weighting become recognisable.

Description: Topic modeling is a type of statistical model for discovering the latent “topics” that occur in a collection of documents through machine learning. Currently, latent Dirichlet allocation (LDA) is a popular and common modeling approach. In this paper, we investigate methods, including LDA and its extensions, for separating a set of scientific publications into several clusters. To evaluate the results, we generate a collection of documents that contain academic papers from several different fields and see whether papers in the same field will be clustered together. We explore potential scientometric applications of such text analysis capabilities.

Description: This paper probes into the current status of collaboration regarding the field of the Chinese humanities and social sciences in respects of the degree of collaboration and the status of the relationships. It researches the status quo in humanities, the growth of social development science and cross-disciplinary social science, and the maturity of applied social science. In addition, it further highlights the important roles of economics, management, and library and information science in the collaboration network of humanities and social science with their extensive intra-disciplinary cooperation and crucial roles in the whole collaboration network.

Description: Each co-author (CA) of any scientist can be given a rank $(r)$ of importance according to the number $(J)$ of joint publications which the authors have together. In this paper, the Zipf–Mandelbrot–Pareto law, i.e. $ J \propto 1/(\nu +r)^{\zeta }$ is shown to reproduce the empirical relationship between $J$ and $r$ and shown to be preferable to a mere power law, $ J \propto 1/r^{\alpha } $ . The CA core value, i.e. the core number of CAs, is unaffected, of course. The demonstration is made on data for two authors, with a high number of joint publications, recently considered by Bougrine (Scientometrics, 98(2): 1047–1064, 2014 ) and for seven authors, distinguishing between their “journal” and “proceedings” publications as suggested by Miskiewicz (Physica A, 392(20), 5119–5131, 2013 ). The rank-size statistics is discussed and the $\alpha $ and $\zeta $ exponents are compared. The correlation coefficient is much improved ( $\sim $ 0.99, instead of 0.92). There are marked deviations of such a co-authorship popularity law depending on sub-fields. On one hand, this suggests an interpretation of the parameter $\nu $ . On the other hand, it suggests a novel model on the (likely time dependent) structural and publishing properties of research teams. Thus, one can propose a scenario for how a research team is formed and grows. This is based on a hierarchy utility concept, justifying the empirical Zipf–Mandelbrot–Pareto law, assuming a simple form for the CA publication/cost ratio, $c_r = c_0\, log_2 (\nu +r)$ . In conclusion, such a law and model can suggest practical applications on measures of research teams. In Appendices, the frequency-size cumulative distribution function is discussed for two sub-fields, with other technicalities

Description: A bibliometric approach is explored to tracking international scientific migration, based on an analysis of the affiliation countries of authors publishing in peer reviewed journals indexed in Scopus™. The paper introduces a model that relates base concepts in the study of migration to bibliometric constructs, and discusses the potentialities and limitations of a bibliometric approach both with respect to data accuracy and interpretation. Synchronous and asynchronous analyses are presented for 10 rapidly growing countries and 7 scientifically established countries. Rough error rates of the proposed indicators are estimated. It is concluded that the bibliometric approach is promising provided that its outcomes are interpreted with care, based on insight into the limits and potentialities of the approach, and combined with complementary data, obtained, for instance, from researchers’ Curricula Vitae o, survey or questionnaire- based data. Error rates for units of assessment with indicator values based on sufficiently large numbers are estimated to be fairly below 10 %, but can be expected to vary substantially among countries of origin, especially between Asian countries and Western countries.

Description: Within the same research field, different subfields and topics may exhibit varied citation behaviors and scholarly communication patterns. For a more effect scientific evaluation at the topic level, this study proposes a topic-based PageRank approach. This approach aims to evaluate the scientific impact of research entities (e.g., papers, authors, journals, and institutions) at the topic-level. The proposed topic-based PageRank, when applied to a data set on library and information science publications, has effectively detected a variety of research topics and identified authors, papers, and journals of the highest impact from each topic. Evaluation results show that compared with the standard PageRank and a topic modeling technique, the proposed topic-based PageRank has the best performance on relevance and impact. Different perspectives of organizing scientific literature are also discussed and this study recommends the mode of organization that integrates stable research domains and dynamic topics.

Description: The concept of citer analysis investigated earlier by Ajiferuke and Wolfram (In: B. Larsen, J. Leta (eds.) Proceedings of the 12th international conference of the international society for scientometrics and informetrics (ISSI) pp. 798–808, 2009 , Scientometrics 83:623–638, 2010 ) is extended to journals where different citing units (citers, citing articles, citing journals) are compared with the journal impact factor and each other to determine if differences in ranking arise from different measures. The citer measures for the 31 high impact journals studied from information science and library science are significantly correlated, even more so than the earlier citer analysis findings, indicating that there is a close relationship among the different units of measure. Still, notable differences in rankings for the journals examined were evident for the different measures used, especially from either 5-year impact factor or number of citing articles per publication to the number of citing journals per publication. The journals that are adversely affected seem to be those whose citations are concentrated in a few journals. This informed the need to develop a journal citation concentration index, which can serve as a complementary measure to the existing journal impact indices.

Description: This paper reports results on a bibliometric case study of the long-term development of research organizations, using an internationally leading biomedical institute as example. Using scientometric concepts, small group theory, organizational ecology, and process-based organizational theory, we developed a life cycle based theoretical model for analyzing long-term development of research groups and institutes. Three bibliometric indicators are proposed for growth, activity profile stability, and focus. With these, the research dynamics of the case institute are described. First, overall output growth matches developments internationally in developmental biology and stem cell research, and, in line with this, journal article output increasingly dominates the institute’s activity profile. Second, superposed on the overall growth curve, a stepwise development is observed, consisting of long phases of growth and stabilisation. These steps reflect local conditions and events. Historical sources from the Institutes’ archive and interviews with the current staff of the institute suggest that the pattern of life cycles reflects a strong influence of pioneering individuals. But once settled, pioneering directors who remain in function for many years delay adaptation of the institutes’ mission to field developments. Furthermore, national science policies on PhD training, and on priority areas have influenced the life cycles, as did merging with other institutes. As in a social science case, also in this case study stabilized local conditions lead to adaptation to research field dynamics in a delayed fashion. In the present case stable output periods lasted at most 15 years, when local impulses led to new growth of research output and thus prevented onset of a lifecycle decline. The continued growth in the larger field both promoted and legitimized these local impulses.

Description: It is commonly accepted that scientific research or, more precisely, the number of scientific publications, in computer science has greatly increased over the last few years. The reason would appear to be the pressure to publish, coined by the expression ”Publish or perish”, which is, among other things, necessary for promotions and applications for grants or projects. In this paper we have conducted a study that covers computer science publications from 1936 to 2010 in order to quantify this increase in publications regarding computing research. We have considered the computing conferences and journals available in the DBLP computer science bibliography (DBLP 2013 ) database, including more than 1.5 million papers, and more than 4 million authors (more than 900,000 different people), corresponding to about 1,000 different journals and 3,000 different conferences and workshops. Our study confirms and quantifies these increases with regard to the number of papers, number of authors, number of papers per author, etc. However, it also reaches a surprising conclusion: the real productivity of researchers has decreased throughout history. The reason for this decrease is the average number of authors per paper, which has grown significantly and is currently three.

Description: Using the possible synergy among geographic, size, and technological distributions of firms in the Orbis database, we find the greatest reduction of uncertainty at the level of the 31 provinces of China, and an additional 18.0 % at the national level. Some of the coastal provinces stand out as expected, but the metropolitan areas of Beijing and Shanghai are (with Tianjin and Chongqing) most pronounced at the next-lower administrative level of (339) prefectures, since these four “municipalities” are administratively defined at both levels. Focusing on high- and medium-tech manufacturing, a shift toward Beijing, Shanghai, and Tianjin (near Beijing) is indicated, but the synergy is on average not enhanced. High- and medium-tech manufacturing is less embedded in China than in Western Europe. Knowledge-intensive services “uncouple” the knowledge base from the regional economies mostly in Chongqing and Beijing. Unfortunately, the Orbis data is incomplete since it was collected for commercial and not for administrative or governmental purposes. However, we provide a methodology that can be used by others who may have access to higher-quality statistical data for the measurement.

Description: This study aimed to assess the association between some features of articles title and number of citations in a volume of Addictive Behavior journal. All research articles published in the volume number 32 (2007) in the Addictive Behaviors journal ( n  = 302) were analyzed by two independent authors. For each article, the following information has been extracted: number of citations up to June 2013 in the Scopus citation database, type of and characteristics of titles, having different words in the keywords, reference to place and presence of an acronym. The summary statistics showed that mean number of citation was 16.36 ± 19.55 times. Articles with combinational title (use of a hyphen or a colon separating different ideas within a sentence) and articles with different words in the keywords (at least two different keywords) had higher number of citations. The number of citations was not correlated with the number of words in the title ( r  = 0.05, P  = 0.325). Our results suggested that some features in the paper such as type of the title and articles with keywords different from words included in the title can help to predict the number of citation counts. These findings can be used by authors and reviewers in order to maximize the impact of articles. The length of title is not associated with citation counts. Therefore, the guide for authors of journals can be more flexible regarding the length of the title.

Description: The present paper introduces two independent concepts. X-centage is a statistical indicator characterizing distributions of percentage-valued variables in a vein similar to Hirsch’s h-index. Heterodisciplinarity is a measure of polydisciplinarity using the disciplinary categorization of references and/or citations. The Journal Citation Reports database is used for an empirical study of using the X-centage for measuring reference heterodisciplinarity of science fields.

Description: This study illustrates scientists’ referencing (mis)behavior by structuring the dissemination network of referencing errors. The sample set consists of 16,622 referencing errors of a highly cited paper published by Laemmli, UK in Nature in 1970. Dissemination networks of thirteen types of volume-page double errors and one type of page-only error are constructed and analyzed. Focusing on papers which carry the same volume-page double error, or the same page error, the citing-cited relationship between any two of them was identified and author bylines were compared to find common author(s). Our investigation results in three disseminating routes of referencing errors. Route 1: Citing a paper and copying its reference; Route 2: Copying a reference from another paper but without citing this paper; Route 3: Copying references from an earlier paper published by the author himself (herself) without rechecking the accuracy of the reference. The first two routes reflect scientists’ referencing misbehavior while the third calls attention to self-copying of references.

Description: Technological change evolves along a cyclical divergent-convergent pattern in knowledge diffusion paths. Technological divergence occurs as a breakthrough innovation, or discontinuity, inaugurating an era of ferment in which several competing technologies emerge and gradually advance. Technological convergence occurs as a series of evolutionary, variant changes that are gradually combined or fused together to open the industry to successive dominant designs or guideposts. To visualize such a pattern of technological evolution, we choose to study lithium iron phosphate (LFP) battery technology through an extension of the citation-based main path analysis, namely the key-route main path analysis. The key-route method discloses the main paths that travel through a specified number of key citations. The resulting multiple paths reveal the structure of the knowledge diffusion paths. The citation network is constructed from 1,531 academic articles on LFP battery technology published between 1997 and early 2012. Findings illustrate that LFP battery technology has completed two full technological cycles and is in the middle of the third cycle.

Description: Researchers typically pay greater attention to scientific papers published within the last 2 years, and especially papers that may have great citation impact in the future. However, the accuracy of current citation impact prediction methods is still not satisfactory. This paper argues that objective features of scientific papers can make citation impact prediction relatively accurate. The external features of a paper, features of authors, features of the journal of publication, and features of citations are all considered in constructing a paper’s feature space. The stepwise multiple regression analysis is used to select appropriate features from the space and to build a regression model for explaining the relationship between citation impact and the chosen features. The validity of this model is also experimentally verified in the subject area of Information Science & Library Science. The results show that the regression model is effective within this subject.

Description: The Stirling index of the set of references of the corpus documents is widely used in the literature on interdisciplinary research and is defined as the integration score of the corpus under study. Such an indicator is relevant at the scale of a research institution, however, there is a gap between the integration scores of individual documents, and a global score computed on the whole set of references. The difference between the global index and the average of individual document indexes carries another relevant information about the corpus: it measures the diversity between the reference profiles of the corpus documents. It is, therefore, named between article index whereas the average of the individual article indexes is called within article index. The statistical properties of these two indexes as well as of the global index are derived from a general approximation method for distributions and lead to statistical tests which can be used to make meaningful comparisons between an institution indexes and benchmark values. The two dimensions of the global index provide a more acute information on the interdisciplinary practices of an institution researchers in a given research domain and is, therefore, likely to contribute to strategic and management issues.

Description: Interdisciplinarity results from dynamics at two levels. Firstly, research questions are approached using inputs from a variety of disciplinary fields. Secondly, the results of this multidisciplinary research feed back into the various research fields. This may either contribute to the further development of these fields, or may lead to disciplinary reconfiguration. If the latter is the case, a new interdisciplinary field may emerge. Following this perspective, the scientific landscape of river research and river science is mapped to assess to which current river research is a multi-disciplinary endeavor, and to which extent it results in a new emerging (inter)disciplinary field of river science. The paper suggests that this two level approach is a useful method to study interdisciplinary research and, more generally, disciplinary dynamics. With respect to river research, we show that it is mainly performed in several fields (limnology, fisheries & fish research, hydrology & water resources, and geomorphology) that hardly exchange knowledge. The different river research topics are multidisciplinary in nature, as they are shared by different fields. However, river science does not emerge as an interdisciplinary field, and often-mentioned new interdisciplinary fields such as hydroecology or hydromorphology are not (yet) visible. There is hardly any involvement of social within river research. Finally, the field of ecology occupies a central position within river research, whereas an expected engineering field is shown absent. This together may signal the acceptance of the ecosystem-based paradigm in river management, replacing the traditional engineering paradigm.

Description: This study uncovers the evolution of a fuel cell research network through a bibliometric study focusing on a period from 1991 to 2010. From a dataset of 37,435 research articles, the study focuses on the evolution of fuel cell research networks at a national level. Focusing solely on the expansion of the research networks, and the policies effecting collaboration, the paper poses three research questions (1) Is research into fuel cells more unconcentrated than in science overall and if so, (2) is there changes within time and (3) can we identify a cluster among certain countries. To answer the research questions, the data was compared to findings on the overall scientific output worldwide. In addition, an ego network analysis was performed and a modularity algorithm was used in order to identify clusters from the network data. The study showed that fuel cell research co-operation has had a distinct evolution within the time frame of the study. Research has increased in both volume and in co-operation, but research co-operation is more unconcentrated than in science overall. Non-TRIAD countries have a stronger role in fuel cell research than in science overall. Clusters in research co-operation have evolved into two modes of co-operation—one around Asia and North America and the second around European co-operation with US and Asia.

Description: This study investigates whether scientific publications can give plausible suggestions about whether R&D support infrastructures in the UK successfully foster scientific activity and cooperation. For this, research publications associated with UK SPs were identified from Scopus for the years 1975–2010 and analysed by region, infrastructure type and organisation type. There was apparently a systematic intensification of R&D from the 90s as evidenced by the publications of on-park firms and research institutions. Science Parks and Research Parks were the most successful infrastructures in fostering cooperation and research production, in comparison to Science and Innovation centres, Technology parks, Incubators and other parks, and HEIs were the major off-park partners for the on-park businesses. The East of England, the South East, and Scotland concentrate the highest proportion of parks, each of these three major geographical agglomerations exhibit distinct areas of scientific specialisation. Parks seem to have a positive impact on the overall level of collaboration and production of science and technology, which are highly concentrated in competitive regions. Nevertheless, industry-academia collaborations show that on-park firms tend to collaborate with partners beyond their local region rather than the local HEI. Support infrastructures may therefore not help to reduce the uneven development and geographic distribution of research-intensive industries in the UK.

Description: In a bid for an eye-catching title, many writers use devices such as interrogation and exclamation marks, metaphors, double meanings and vague expressions which do not comply with accepted standards in style manuals of scientific writing. The purpose of this article is to analyse the lack of accuracy of titles in articles on bibliometrics published in biomedical journals and to discuss the effect this may have on the reader. A corpus of 1,505 titles included in PubMed and Web of Science between 2009 and 2011 and retrieved under the MeSH major topic “bibliometrics” and other related terms was analyzed. Different types of inaccuracy were identified and a classification was developed and used for this particular study. 23.4 % of the titles contain inaccuracies of some kind. Editorial titles show a higher percentage of these (11.43 %) than original articles (8.83 %) and letters (3.2 %), the most frequent being the inclusion of a question in the title (seen in 30.9 % of the papers), followed by vague and imprecise expressions (17.8 %), acronyms (16.4 %) and double meanings (14 %). Many titles fail to comply with the conventions of scientific writing. A descriptive title accurately reflecting the content of an article would give readers a better idea of its content, help them to decide more rapidly whether they want to read it and facilitate retrieval from bibliographic databases.

Description: The current study investigates parts manufacturers’ innovative behavior from the population ecology perspective. Specifically, this paper proposes that firm level inertia and network level inertia matter in parts manufacturer’s innovation. Using data from auto parts manufacturers, we test four hypotheses, and the results show that firm level inertia indicated by age does not matter, while firm’s innovative inertia matters in parts manufacturers’ innovation. At the same time, we find that cluster can promote general parts firms’ innovation, but they will harm the innovative firms’ innovative behavior. These results contribute to our understanding of parts manufacturer’s innovation.

Description: This paper focuses on measuring the academic research performance of Chinese universities by using Scopus database from 2007 to 2010. We have provided meaningful indicators to measure the research performance of Chinese universities as compared to world class universities of the US and the European region. Using these indicators, we first measure the quantity and quality of the research outcomes of the universities and then examine the internationalization of research by using international collaborations, international citations and international impact metrics. Using all of this data, we finally present an overall score called research performance point to measure the comprehensive research strength of the universities for the selected subject categories. The comparison identifies the gap between Chinese universities and top-tier universities from selected regions across various subject areas. We find that Chinese universities are doing well in terms of publication volume but receive less citations from their published work. We also find that the Chinese universities have relative low percentage of publications at high impact venues, which may be the reason that they are not receiving more citations. Therefore, a careful selection of publication venues may help the Chinese universities to compete with world class universities and increase their research internationalization.

Description: Increased specialization and extensive collaboration are common behaviours in the scientific community, as well as the evaluation of scientific research based on bibliometric indicators. This paper aims to analyse the effect of collaboration (co-authorship) on the scientific output of Italian economists. We use social network analysis to investigate the structure of co-authorship, and econometric analysis to explain the productivity of individual Italian economists, in terms of ‘attributional’ variables (such as age, gender, academic position, tenure, scientific sub-discipline, geographical location), ‘relational’ variables (such as propensity to cooperate and the stability of cooperation patterns) and ‘positional’ variables (such as betweenness and closeness centrality indexes and clustering coefficients).

Description: 959 full text articles has been studied to explore the intellectual structure of scientometrics in the period 2005–2010 using text mining and co-word analysis. The trends and patterns of scientometrics in the journal Scientometrics were revealed by measuring the association strength of selected keywords which represent the produced concept and idea in the field of scientometrics. All articles were collected from the journal Scientometrics through Springerlink (full text database) and keywords were added non-parametrically from the LISA database and the articles themselves (keywords provided by author). Other important keywords are extracted from the title and abstract of the article manually. These keywords are standardized using a vocabulary tool. With the objective of delineating dynamic changes of the field of scientometrics, the period 2005–2010 was studied and further divided into two consecutive periods: 2005–2007 and 2008–2010. The results show that publication has some well-established topics which are changing gradually to adopt new themes.

Description: Certain scholarly publications or patent publications may signal breakthroughs in basic scientific research or radical new technological developments. Are there bibliographical indicators that enable an analysis of R&D dynamics to help identify these ‘local revolutions’ in science and technology? The focus of this paper is on early stage identification of potential breakthroughs in science that may evolve into new technology. We analyse bibliographic information for a typical example of such a breakthrough to pinpoint information that has the potential to be used as bibliographic indicator. The typical example used is the landmark research paper by Novoselov et al. (Science 306(5696): 666–669, 2004 ) concerning graphene. After an initial accumulation of theoretical knowledge about graphene over a period of 50 years this publication of the discovery of a method to produce graphene had an immediate and significant impact on the R&D community; it provides a link between theory, experimental verification, and new technological applications. The publication of this landmark discovery marks a sharp rise in the number of scholarly publications, and not much later an increase in the number of filings for related patent applications. Noticeable within 2 years after publication is an above average influx of researchers and of organisations. Changes in the structure of co-citation term maps point to renewed interest from theoretical physicists. The analysis uncovered criteria that can help in identifying at early stage potential breakthroughs that link science and technology.

Description: The Relative Specialization Index (RSI) is an indicator that measures the research profile of a country by comparing the share of a given field in the publications of a given country with the share of the same field in the world total of publications. If measured over time, this indicator may be influenced in the world total by the increased representation of certain other countries with different research profiles. As a case, we study the effect on the RSI for The Netherlands of the increased representation of China in the ISI Web of Science. Although the booming of China is visible in the RSI for The Netherlands, especially in the last decade and in fields where the countries have opposite specializations, the basic research profile as measured by the RSI remains the same. We conclude that the indicator is robust with regard to booming countries, and that it may suffice to observe the general changes in the research profile of the database if the RSI for a country is studied over time.

Description: Co-authorship has become common practice in most science and engineering disciplines and, with the growth of co-authoring, has come a fragmentation of norms and practices, some of them discipline-based, some institution-based. It becomes increasingly important to understand these practices, in part to reduce the likelihood of misunderstanding in collaborations among authors from different disciplines and fields. Moreover, there is also evidence of widespread satisfaction with collaborative and co-authoring experiences. In some cases the dissatisfactions are more in the realm of bruised feelings and miscommunication but in others there is clear exploitation and even legal disputes about, for example, intellectual property. Our paper is part of a multiyear study funded by the U.S. National Science Foundation (NSF) and draws its data from a representative national survey of scientists working in 108 Carnegie Doctoral/Research Universities—Very High Research Activity ( n  = 641). The paper tests hypotheses about the determinants of collaboration effectiveness. Results indicate that having an explicit discussion about co-authorship reduces the odds of a bad collaboration on a recent scholarly article. Having co-authors from different universities also reduces the odds of a bad collaboration, while large numbers of co-authors have the reverse effect. The results shed some systematic, empirical light on research collaboration practices, including not only norms and business-as-usual, but also routinely bad collaborations.

Description: While the citation context of a reference may provide detailed and direct information about the nature of a citation, few studies have specifically addressed the role of this information in retrieving relevant documents from the literature primarily due to the lack of full text databases. In this paper, we design a retrieval system based on full texts in the PubMed Central database. We constructed two modules in the retrieval system. One is a reference retrieval module based on citation contexts. Another is a citation context retrieval module for searching the citation contexts of a specific paper. The results of comparisons show that the reference retrieval module performed better than Google Scholar and PubMed database in terms of finding proper references based on topic words extracted from citation context. It also performed very well on searching highly cited papers and classic papers. The citation context retrieval module visualizes the topics of citation contexts as tag clouds and classifies citation contexts based on cue words in citation contexts.

Description: Counts of hyperlinks between websites can be unreliable for webometrics studies so researchers have attempted to find alternate counting methods or have tried to identify the reasons why links in websites are created. Manual classification of individual links in websites is infeasible for large webometrics studies, so a more efficient approach to identifying the reasons for link creation is needed to fully harness the potential of hyperlinks for webometrics research. This paper describes a machine learning method to automatically classify hyperlink source and target page types in university websites. 78 % accuracy was achieved for automatically classifying web page types and up to 74 % accuracy for predicting link target page types from link source page characteristics.

Description: Using curriculum vitae (CVs) or Short Bios in published resources such as the Internet enables us to analyze many issues concerning researchers’ careers. However, analysis of CVs or Short Bios concerning researchers’ life history, such as movement between countries, has rarely been conducted. In this paper, we pursue two purposes: to demonstrate which conditions (citation impact, countries or sectors) are favorable for the analysis, and to show structures of production of highly cited papers. To grasp more obvious tendencies, we compare two “extreme” samples: highly cited and uncited papers. First, we assess the identification rates of researchers’ origin broken down by researchers’ affiliation (countries and sectors). Then, we analyze the influence of these researchers’ international movement based on their origin. The results show the full landscape of the movement’s influence on national publication, the characteristics of each country in terms of researchers’ countries of origin and the research experience of both internationally moved and domestic researchers. Moreover, we analyze the contributions of researchers who returned from abroad to their home countries. Finally, we assess the limitations of our research method and the topic to be addressed concerning this method.

Description: To survive worldwide competitions of research and development in the current rapid increase of information, decision-makers and researchers need to be supported to find promising research fields and papers. But finding those fields from an available data in too much heavy flood of information becomes difficult. We aim to develop a methodology supporting to find emerging leading papers with a bibliometric approach. The analyses in this work are about four academic domains using our time transition analysis. In the time transition analysis, after citation networks are constructed, centralities of each paper are calculated and their changes are tracked. Then, the centralities are plotted, and the features of the leading papers are extracted. Based on the features, we proposed ways to detect the leading papers by focusing on in-degree centrality and its transition. This work will contribute to finding the leading paper, and it is useful for decision-makers and researchers to decide the worthy research topic to invest their resources.

Description: This paper investigates disciplinary differences in how researchers use the microblogging site Twitter. Tweets from selected researchers in ten disciplines (astrophysics, biochemistry, digital humanities, economics, history of science, cheminformatics, cognitive science, drug discovery, social network analysis, and sociology) were collected and analyzed both statistically and qualitatively. The researchers tended to share more links and retweet more than the average Twitter users in earlier research and there were clear disciplinary differences in how they used Twitter. Biochemists retweeted substantially more than researchers in the other disciplines. Researchers in digital humanities and cognitive science used Twitter more for conversations, while researchers in economics shared the most links. Finally, whilst researchers in biochemistry, astrophysics, cheminformatics and digital humanities seemed to use Twitter for scholarly communication, scientific use of Twitter in economics, sociology and history of science appeared to be marginal.

Description: Historically, science of science (Sci2) studies have been performed by single investigators or small teams. As the size and complexity of data sets and analyses scales up, a “Big Science” approach (Price, Little science, big science, 1963 ) is required that exploits the expertise and resources of interdisciplinary teams spanning academic, government, and industry boundaries. Big Sci2 studies utilize “big data”, i.e., large, complex, diverse, longitudinal, and/or distributed datasets that might be owned by different stakeholders. They apply a systems science approach to uncover hidden patterns, bursts of activity, correlations, and laws. They make available open data and open code in support of replication of results, iterative refinement of approaches and tools, and education. This paper introduces a database-tool infrastructure that was designed to support big Sci2 studies. The open access Scholarly Database ( http://sdb.cns.iu.edu ) provides easy access to 26 million paper, patent, grant, and clinical trial records. The open source Sci2 tool ( http://sci2.cns.iu.edu ) supports temporal, geospatial, topical, and network studies. The scalability of the infrastructure is examined. Results show that temporal analyses scale linearly with the number of records and file size, while the geospatial algorithm showed quadratic growth. The number of edges rather than nodes determined performance for network based algorithms.

Description: In order to evaluate approaches for identifying science citation index (SCI) covered publications within non-patent references (NPRs), the author employs a computer science method that uses two key indicators, recall and precision, to evaluate the relevance of information retrieval systems. There are two primary reasons that this method is adequate: in contrast to the retrievability ratios used previously, first, this method can evaluate two dimensions of matching accuracy, and second, results of its evaluation are independent of the intermediate outcome. The author then proposes an approach for identifying SCI publications within NPRs that consists of five steps: (1) data collection, (2) creation of supervised and test data, (3) selection and execution of matching algorithms, (4) evaluation of algorithms and optimization of their combinations, and (5) evaluation of optimized combinations. A comparison of the proposed and conventional approaches showed that the proposed approach works well, with results far better (99 % precision and 95 % recall) than the target implicitly set in previous studies. The author also applied the approach to comprehensive NPR data in U.S. utility patents registered between 1992 and 2012 and checked the performance. Results showed that the approach could identify SCI publications from within millions of NPRs in an acceptable time (i.e., within a couple of weeks) and that it performs as expected from the evaluation in step 5. On the basis of these results, the proposed approach is considered of value in studies on relations and/or interactions between science publications and patents.

Description: An analysis of 3,089 papers on global camel research during 2003–2012, as indexed in Scopus international multidisciplinary database indicate an average annual growth rate of 11.20 % and registered an average citation per paper of 2.24. The publication output was scattered in 257 journal titles and originated in 104 countries, of which the top 15 countries contributed 87.44 % share to global publication output during 2003–2012. The highest publication output came from USA, followed by India, Saudi Arabia, Iran, Egypt, United Arab Republic, United Kingdom, France, China, Germany, Sudan, Belgium, Australia, Canada and Kenya. The publication share has increased in case of Iran, Saudi Arabia, Egypt, China, France, Sudan, India, Australia and Canada, as against decrease in UK, USA, Kenya, Belgium, Germany and UAE from 2003–2007 to 2008–2012. Eight out of 15 most productive countries have achieved high relative citation index (1 and above): Belgium (3.61), Australia (2.69), UK (2.38), Canada (2.33), France (2.07), USA (1.87), Germany (1.65), UAE (1.11) and Kenya (1.09) during 2003–2012. Agricultural and biological sciences (43.35 % share) contributed the largest share, followed by veterinary science (29.75 % share), medicine (17.74 % share), immunology and microbiology (13.99 % share), biochemistry, genetics and molecular biology (13.99 % share), environment science (5.08 % share) and pharmacology, toxicology and pharmaceutics (3.11 % share) during 2003–2012. Among narrow sub-fields, the focused areas were camel disease and infection, camel milk and dairy produce, camel non-milk products, camel reproduction, camel feed and diet camel physiology, camel genetics, camel parasitology, etc. The world camel research output originated from 311 organizations, of which the top 20 contributed 31.72 % global publication share during 2003–2012.

Description: Although the world has experienced rapid urbanization, rural areas have always been and are still an important research field in human geography. This paper performed a bibliometric analysis on rural geography studies based on the peer-reviewed articles concerning rural geography published in the SSCI-listed journals from 1990 to 2012. Our analysis examines publication patterns (document types and publishing languages, article outputs and their categories, major journals and their publication, most productive authors, geographic distribution and international collaboration) and demonstrates the evolution of intellectual development of rural geography by studying highly cited papers and their citation networks and temporal evolution of keywords. Our research findings include: The article number has been increasing since the 1900s, and went through three phases, and the rural geography research is dominated in size by UK and USA. The USA is the most productive in rural geography, but the UK had more impact than other countries in the terms of the average citation of articles. Three distinct but loosely linked research streams of rural geography were identified and predominated by the UK rural geographers. The keywords frequencies evolved according to contexts of rural development and academic advances of human geography, but they were loosely and scattered since the rural researches in different regions or different systems faced with different problems.

Description: This paper analyses the information science research field of informetrics to identify publication strategies that have been important for its successful researchers. The study uses a micro-analysis of informetrics researchers from 5,417 informetrics papers published in 7 core informetrics journals during 1948–2012. The most productive informetrics researchers were analysed in terms of productivity, citation impact, and co-authorship. The 30 most productive informetrics researchers of all time span several generations and seem to be usually the primary authors of their research, highly collaborative, affiliated with one institution at a time, and often affiliated with a few core European centres. Their research usually has a high total citation impact but not the highest citation impact per paper. Perhaps surprisingly, the US does not seem to be good at producing highly productive researchers but is successful at producing high impact researchers. Although there are exceptions to all of the patterns found, researchers wishing to have the best chance of being part of the next generation of highly productive informetricians may wish to emulate some of these characteristics.

Description: Patents and licenses are foundational to successful technology transfer in universities. In this article, the activities and performance of university patenting and licensing are studied to gauge the effectiveness of the Bayh–Dole Act (the “Act”), the most influential piece of US legislation on university technology transfer (UTT). Based on raw data from five sources, the annual numbers of patents granted, licenses signed, startup companies launched, and research expenditures are analyzed. Correlations are performed for all data presented to quantify trends over different time periods. We found that patenting and licensing activities in US universities slowed down greatly after 2000 and remained flat until the period from 2010 to 2012, when activities recover to the level of strength characterizing the period before 2000 and after the enactment of the Act. We identify that economic recessions is the major cause to the flatness of the patenting activities during 2000s. We also explain some of the differences found among different data sources and time periods.

Description: Evaluation has become a regular practice in the management of science, technology and innovation (ST&I) programs. Several methods have been developed to identify the results and impacts of programs of this kind. Most evaluations that adopt such an approach conclude that the interventions concerned, in this case ST&I programs, had a positive impact compared with the baseline, but do not control for any effects that might have improved the indicators even in the absence of intervention, such as improvements in the socio-economic context. The quasi-experimental approach therefore arises as an appropriate way to identify the real contributions of a given intervention. This paper describes and discusses the utilization of propensity score (PS) in quasi-experiments as a methodology to evaluate the impact on scientific production of research programs, presenting a case study of the BIOTA Program run by FAPESP, the State of São Paulo Research Foundation (Brazil). Fundamentals of quasi-experiments and causal inference are presented, stressing the need to control for biases due to lack of randomization, also a brief introduction to the PS estimation and weighting technique used to correct for observed bias. The application of the PS methodology is compared to the traditional multivariate analysis usually employed.

Description: Here we examine the evolution of journal sharing between scientific subject categories, using evolutionary game theory. We assume that there is journal sharing between subject categories if they share common scholarly journals. In this paper, the Prisoners’ dilemma (within evolutionary game theory) is used as a metaphor for the problems surrounding the evolution of journal sharing between scientific subject categories. Using evolutionary games, here we show that connections between categories (that share common journals) can enable journal sharing to persist indefinitely on stationary configurations. The conclusion is that journal sharing between subject categories is an evolutionary advantage. Using a set of experiments, we have explored the asymptotic behaviour of this system for various values of the model’s parameter and the results seem robust. Subject categories are described in terms of graphs, such that categories occupy the vertices. Sharing categories are connected through the edges of those graphs. The combination of evolutionary game theory and graph theory provides the flexibility for carrying out more realistic simulations.

Description: Nature is among the world’s most highly cited multidisciplinary science journals with one of the highest impact factors of 38.597 (Nature Publishing Group (NPG) 2013 ), which is used relatively often in many scientific rankings. When analysing the regional distribution of Nature publications, we found a high correlation between the expenditures and the number of local affiliations that are counted on a national basis. The same regularity can be observed for the world’s top 30 and the US’s top 50 universities; however, the correlation is now skewed by the so-called cumulative advantage or the Matthew Effect , which evidently rewards those that are ranked at the top of the Academic Ranking of World Universities. The rich get richer and the poor get poorer . Surprisingly, the amount of the endowment better determines the number of Nature publications for universities than the total research expenditure.

Description: To better understand the rapidly growing social media research domain, this study presents the findings of a scientometric analysis of the corresponding literature. We conducted a research productivity analysis and citation analysis of individuals, institutions, and countries based on 610 peer-reviewed social media articles published in journals and conference proceedings between October 2004 and December 2011. Results indicate that research productivity is exploding and that several leading authors, institutions, countries, and a small set of foundational papers have emerged. Based on the results—indicating that the social media domain displays limited diversity and is still heavily influenced by practitioners—the paper raises two fundamental challenges facing the social media domain and its future advancement, namely the lack of academic maturity and the Matthew Effect.

Description: The main methods for ranking academic journals are peer review based approaches and applications of various bibliometric indicators, or a mixture of the two. Such rankings are used to assess the overall quality of journals, although their real meaning remains unclear as long as the notion of “quality’ is not precisely defined. In our approach we examine journal evaluation from the perspective of knowledge accumulation taking the citation distribution into account. A new indicator, the sub-impact factor denoted as SIF, derived sub-impact factor sequences and an aggregated SIF-indicator are proposed. An empirical study is performed on 64 journals in the area of operations research and management science, illustrating the use of these indicators.

Description: This micro-level study explores the extent that citation analysis provides an accurate and representative assessment of the use and impact of bioinformatics e-research infrastructure. The bioinformatic e-research infrastructure studied offers common tools used by life scientists to analyse and interpret genetic and protein sequence information. These e-resources therefore provide an interesting example with which to explore how representative citations are as acknowledgements of knowledge in the life sciences. The examples presented here suggest that there is a relation between number of visits to these databases and number of citations; however, a parallel finding shows how citation analysis frequently underestimates acknowledged use of the resources offered on this e-research infrastructure. The paper discusses the implications of the findings for various aspects of impact measurement and also considers how appropriate citation analysis is as a measurement of knowledge claims.

Description: It is widely accepted that biotechnology is a globally significant and growing research field. Because of its biodiversity, Colombia has a comparative advantage to innovate and commercialize biotechnological products and services. The aim of this study is to obtain a research profile and intellectual structure of the country in the biotechnology field by using bibliometric methods. These methods are needed to monitor the capacities and the compliance of national policies in biotechnology. By using records extracted from the ISI WoK database, this study describes the biotechnology publication trend, productivity and collaboration among institutions and countries, preferred journals, and the intellectual structure at the research subject area. Although, a growing trend in biotechnology publication was observed, the productivity is still low when compared to other countries in the region and the world. On the other hand, researchers seem to show a preference for international over domestic collaboration. The results suggest two elements: first, policy has not had the expected outcome in the short term, and second, a lack of internal collaboration could therefore reflect low endogenous capacities. The bibliometric methods used in this study can be applied to a wide range of research fields other than biotechnology.

Description: This study adopts a bibliometric approach to quantitatively assess current research trends in nanofiltration membrane technology (NFM), a new membrane separation technology widely used in various fields. It analyses scientific papers published between 1988–2011 in all journals contained in the Science Citation Index and patent data with the same time span from the Derwent patent database. The study examines developments in basic NFM research and technological innovations. Over the past 24 years, there has been a notable growth in publication outputs. Compared with other countries, China exhibited a rapid growth, particularly from 2000–2011, with its total number of papers ranking second only to the United States (US). Chinese NFM papers focus on energy and agriculture, while the US focuses on biochemistry and molecular biology. China holds the most global NFM patents, with rapid growth in patent numbers from 2005–2011. China, the US and Japan together hold 78 % of the total global NFM patents and have a strong technological advantage in water treatment and separation technology. Although there are four Chinese institutions in the top 10 patentee list, most are application patents that focus on the integrated application of existing nanofiltration membrane. In contrast the patents owned by foreign patentees are mostly research patents involving technology innovations of the nanofiltration membrane itself. Therefore, NFM research capacity in China should be further strengthened to maximize the advantages gained via research to date.

Description: This paper uses a bibliometric analysis method to probe into the evolution of China’s science and technology policies from 1949 to 2010, and the roles of core government agencies in policy-making. We obtained 4,707 Chinese S&T policies from GDIS, a Chinese public policy database provided by Tsinghua University. Co-word analysis and network analysis were applied in mapping the topics of S&T policies and collaboration among the agencies, while citation analysis was applied to assess the influence of S&T policies. Findings include: first, the focus of Chinese S&T policies is mainly on applied research and industrialization, rather than basic research; second, more and more government agencies are involved in making S&T policies, but collaboration efforts are not significantly increasing; last but not least, the influence of different S&T policies is determined by the administrative ranking of the policy-making agencies responsible for drafting those policies.

Description: We give mathematical explanations of some empirical results obtained by Campanario in Scientometrics 99(2):289–298, ( 2014 ).

Description: Cycles that cross two or more boundaries between disciplines in the co-authorship graph for all of science are used to set upper limits on the number of co-authored papers required to cross 15 disciplines or subdisciplines ranging from macroeconomics to neurology. The upper limits obtained range from one (discrete mathematics, macroeconomics and nuclear physics) to six (neuroscience). The 15 disciplines or subdisciplines examined form a “small world” with an average separation of only 2.0 co-authorship links. It is conjectured that the high-productivity, high average degree centers of all scientific disciplines form a small world, and therefore that the diameter of the co-authorship graph of all of science is only slightly larger than the average diameter of the co-authorship graphs of its subdisciplines.