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The relationship between bioRxiv preprints, citations and altmetrics
[journal article]
Abstract A potential motivation for scientists to deposit their scientific work as preprints is to enhance its citation or social impact. In this study we assessed the citation and altmetric advantage of bioRxiv, a preprint server for the biological sciences. We retrieved metadata of all bioRxiv preprints de... view more
A potential motivation for scientists to deposit their scientific work as preprints is to enhance its citation or social impact. In this study we assessed the citation and altmetric advantage of bioRxiv, a preprint server for the biological sciences. We retrieved metadata of all bioRxiv preprints deposited between November 2013 and December 2017, and matched them to articles that were subsequently published in peer-reviewed journals. Citation data from Scopus and altmetric data from Altmetric.com were used to compare citation and online sharing behavior of bioRxiv preprints, their related journal articles, and nondeposited articles published in the same journals. We found that bioRxiv-deposited journal articles had sizably higher citation and altmetric counts compared to nondeposited articles. Regression analysis reveals that this advantage is not explained by multiple explanatory variables related to the articles' publication venues and authorship. Further research will be required to establish whether such an effect is causal in nature. bioRxiv preprints themselves are being directly cited in journal articles, regardless of whether the preprint has subsequently been published in a journal. bioRxiv preprints are also shared widely on Twitter and in blogs, but remain relatively scarce in mainstream media and Wikipedia articles, in comparison to peer-reviewed journal articles.... view less
Keywords
scientometry; science studies; publication; peer review; regression analysis
Classification
Scientometrics, Bibliometrics, Informetrics
Free Keywords
altmetrics; bioRxiv; citation advantage; citations; preprints
Document language
English
Publication Year
2020
Page/Pages
p. 618-638
Journal
Quantitative Science Studies, 1 (2020) 2
DOI
https://doi.org/10.1162/qss_a_00043
ISSN
2641-3337
Status
Published Version; peer reviewed