Dataset Open Access

Preprints in biology as a fraction of the biomedical literature

Penfold, Naomi C; Polka, Jessica

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3256298", 
  "language": "eng", 
  "title": "Preprints in biology as a fraction of the biomedical literature", 
  "issued": {
    "date-parts": [
  "abstract": "<p>These data and chart present an approximate&nbsp;calculation of the proportion of preprints in biology when compared to publications in PubMed, based on monthly figures and incorporating monthly preprint submissions (or counts) across a selection of servers relevant to biology.&nbsp;</p>\n\n<p>Version 1.0 of these data&nbsp;represents data from January 2007 until May 31, 2019 for preprint servers: arXiv q-bio, Nature Precedings, F1000Research*, PeerJ Preprints*, bioRxiv**, Winnower*,&nbsp;<a href=\"\"></a>, Wellcome Open Research*.&nbsp;</p>\n\n<p>* Counts may not be specific to biology preprints only; ** Counts may include all versions posted that month, so may be an overestimate for version 1 submissions.</p>\n\n<p>From January 2019, data has been gathered manually by the authors, as per the methods described in the .csv here, and is included here in &#39;Preprints_per_month_direct_2019-01to05.csv&#39;.&nbsp;Until December 2018, monthly preprint submissions data are based on those contributed by Jordan Anaya (ORCID: <a href=\"\"></a>) for PrePubMed, source:&nbsp;<a href=\"\"></a>; Github repository:&nbsp;<a href=\"\"></a>; website: <a href=\"\"></a>). Data are not included here, they are&nbsp;provided from the source linked above under MIT license associated with the website code: <a href=\"\"></a>.</p>\n\n<p>A live version of these data and the chart are available from this GSheet:&nbsp;<a href=\"\"></a>. Between version updates here, please refer to this sheet for updated counts and method updates e.g.&nbsp;to include more servers and ensure only version 1 submissions are counted.</p>\n\n<p>For more information, please contact</p>\n\n<p>When presenting these data and/or chart, please attribute to ASAPbio (, twitter: @ASAPbio_).</p>", 
  "author": [
      "family": "Penfold, Naomi C"
      "family": "Polka, Jessica"
  "version": "1.0", 
  "type": "dataset", 
  "id": "3256298"
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