Tracking the popularity and outcomes of all bioRxiv preprints
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.or...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2019-04-01
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| Series: | eLife |
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| Online Access: | https://elifesciences.org/articles/45133 |
| _version_ | 1818026953730424832 |
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| author | Richard J Abdill Ran Blekhman |
| author_facet | Richard J Abdill Ran Blekhman |
| author_sort | Richard J Abdill |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-10T04:40:12Z |
| format | Article |
| id | doaj.art-e06c1723b093409c868d8f3d38c33b24 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-12-10T04:40:12Z |
| publishDate | 2019-04-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-e06c1723b093409c868d8f3d38c33b242022-12-22T02:01:55ZengeLife Sciences Publications LtdeLife2050-084X2019-04-01810.7554/eLife.45133Tracking the popularity and outcomes of all bioRxiv preprintsRichard J Abdill0https://orcid.org/0000-0001-9565-5832Ran Blekhman1https://orcid.org/0000-0003-3218-613XDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United StatesDepartment of Genetics, Cell Biology, and Development, University of Minnesota, Minneapolis, United States; Department of Ecology, Evolution, and Behavior, University of Minnesota, Minneapolis, United StatesThe 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.https://elifesciences.org/articles/45133meta-researchpreprintspublishingbioRxivweb scrapingbibliometrics |
| spellingShingle | Richard J Abdill Ran Blekhman Tracking the popularity and outcomes of all bioRxiv preprints eLife meta-research preprints publishing bioRxiv web scraping bibliometrics |
| title | Tracking the popularity and outcomes of all bioRxiv preprints |
| title_full | Tracking the popularity and outcomes of all bioRxiv preprints |
| title_fullStr | Tracking the popularity and outcomes of all bioRxiv preprints |
| title_full_unstemmed | Tracking the popularity and outcomes of all bioRxiv preprints |
| title_short | Tracking the popularity and outcomes of all bioRxiv preprints |
| title_sort | tracking the popularity and outcomes of all biorxiv preprints |
| topic | meta-research preprints publishing bioRxiv web scraping bibliometrics |
| url | https://elifesciences.org/articles/45133 |
| work_keys_str_mv | AT richardjabdill trackingthepopularityandoutcomesofallbiorxivpreprints AT ranblekhman trackingthepopularityandoutcomesofallbiorxivpreprints |