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  • 1
    Publication Date: 2016-06-24
    Description: We investigate how textual properties of scientific papers relate to the number of citations they receive. Our main finding is that correlations are nonlinear and affect differently the most cited and typical papers. For instance, we find that, in most journals, short titles correlate positively with citations only for the most cited papers, whereas for typical papers, the correlation is usually negative. Our analysis of six different factors, calculated both at the title and abstract level of 4.3 million papers in over 1500 journals, reveals the number of authors, and the length and complexity of the abstract, as having the strongest (positive) influence on the number of citations.
    Keywords: statistics, e-science, complexity
    Electronic ISSN: 2054-5703
    Topics: Natural Sciences in General
    Published by Royal Society
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