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      Is Open Access

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

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      eLife
      eLife Sciences Publications, Ltd
      preprints, scientific publishing, citations, None

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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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          Is Open Access

          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

                Contributors
                Role: Reviewing Editor
                Role: Senior Editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                06 December 2019
                2019
                : 8
                : e52646
                Affiliations
                [1 ]deptDepartment of Biomedical Informatics Vanderbilt University Medical Center NashvilleUnited States
                [2 ]deptDepartment of Biological Sciences Vanderbilt University Medical Center NashvilleUnited States
                eLife United Kingdom
                eLife United Kingdom
                eLife United Kingdom
                Universidade Federal do Rio de Janeiro Brazil
                Author information
                https://orcid.org/0000-0003-1407-1689
                https://orcid.org/0000-0002-1558-6089
                Article
                52646
                10.7554/eLife.52646
                6914335
                31808742
                babaca7b-f505-4e5f-8f81-43347771711d
                © 2019, Fu and Hughey

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 11 October 2019
                : 03 December 2019
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: R35GM124685
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000092, U.S. National Library of Medicine;
                Award ID: T15LM007450
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Feature Article
                Computational and Systems Biology
                Meta-Research
                Custom metadata
                An analysis of more than 70,000 journal articles, including 5405 that were first released as a preprint on bioRxiv, shows that articles with a preprint received 49% more attention and 36% more citations than articles without one.
                5

                Life sciences
                preprints,scientific publishing,citations,none
                Life sciences
                preprints, scientific publishing, citations, none

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