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      Meta-Research: Releasing a preprint is associated with more attention and citations for the peer-reviewed article

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      eLife
      eLife Sciences Publications, Ltd

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          Abstract

          Preprints in biology are becoming more popular, but only a small fraction of the articles published in peer-reviewed journals have previously been released as preprints. To examine whether releasing a preprint on bioRxiv was associated with the attention and citations received by the corresponding peer-reviewed article, we assembled a dataset of 74,239 articles, 5,405 of which had a preprint, published in 39 journals. Using log-linear regression and random-effects meta-analysis, we found that articles with a preprint had, on average, a 49% higher Altmetric Attention Score and 36% more citations than articles without a preprint. These associations were independent of several other article- and author-level variables (such as scientific subfield and number of authors), and were unrelated to journal-level variables such as access model and Impact Factor. This observational study can help researchers and publishers make informed decisions about how to incorporate preprints into their work.

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          Most cited references15

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          The number of subjects per variable required in linear regression analyses.

          To determine the number of independent variables that can be included in a linear regression model.
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            Quantifying long-term scientific impact.

            The lack of predictability of citation-based measures frequently used to gauge impact, from impact factors to short-term citations, raises a fundamental question: Is there long-term predictability in citation patterns? Here, we derive a mechanistic model for the citation dynamics of individual papers, allowing us to collapse the citation histories of papers from different journals and disciplines into a single curve, indicating that all papers tend to follow the same universal temporal pattern. The observed patterns not only help us uncover basic mechanisms that govern scientific impact but also offer reliable measures of influence that may have potential policy implications.
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              A new methodology for constructing a publication-level classification system of science

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                Author and article information

                Journal
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                December 06 2019
                December 06 2019
                : 8
                Affiliations
                [1 ]Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, United States
                Article
                10.7554/eLife.52646
                babaca7b-f505-4e5f-8f81-43347771711d
                © 2019

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

                http://creativecommons.org/licenses/by/4.0/

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