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      Tracking the popularity and outcomes of all bioRxiv preprints

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          Abstract

          The growth of preprints in the life sciences has been reported widely and is driving policy changes for journals and funders, but little quantitative information has been published about preprint usage. Here, we report how we collected and analyzed data on all 37,648 preprints uploaded to bioRxiv.org, the largest biology-focused preprint server, in its first five years. The rate of preprint uploads to bioRxiv continues to grow (exceeding 2,100 in October 2018), as does the number of downloads (1.1 million in October 2018). We also find that two-thirds of preprints posted before 2017 were later published in peer-reviewed journals, and find a relationship between the number of downloads a preprint has received and the impact factor of the journal in which it is published. We also describe Rxivist.org, a web application that provides multiple ways to interact with preprint metadata.

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          The history and meaning of the journal impact factor.

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            The Impact Factor Game

            The PLoS Medicine editors argue that we need a better measure than the impact factor for assessing the biomedical literature.
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              Publication rate expressed by age, gender and academic position – A large-scale analysis of Norwegian academic staff

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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
                24 April 2019
                2019
                : 8
                : e45133
                Affiliations
                [1 ]deptDepartment of Genetics, Cell Biology, and Development University of Minnesota MinneapolisUnited States
                [2 ]deptDepartment of Ecology, Evolution, and Behavior University of Minnesota MinneapolisUnited States
                eLife United Kingdom
                eLife United Kingdom
                eLife United Kingdom
                University of Pennsylvania United States
                Author information
                https://orcid.org/0000-0001-9565-5832
                http://orcid.org/0000-0003-3218-613X
                Article
                45133
                10.7554/eLife.45133
                6510536
                31017570
                2e980402-3229-48a8-abc1-a2ff9bd17794
                © 2019, Abdill and Blekhman

                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
                : 28 January 2019
                : 23 April 2019
                Funding
                Funded by: College of Biological Sciences, University of Minnesota;
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: R35-GM128716
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007249, University of Minnesota;
                Award ID: McKnight Land-Grant Professorship
                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
                Meta-Research
                Custom metadata
                Data are reported for the monthly number of uploads to and downloads from bioRxiv, and for the number of preprints that are later published in peer-reviewed journals.

                Life sciences
                meta-research,preprints,publishing,biorxiv,web scraping,bibliometrics,none
                Life sciences
                meta-research, preprints, publishing, biorxiv, web scraping, bibliometrics, none

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