Tracking the popularity and outcomes of all bioRxiv preprints

Update: This paper has now been published at eLife. “Tracking the popularity and outcomes of all bioRxiv preprints” by Richard J. Abdill and Ran Blekhman In this article, Abdill and Blekhman describe a database of bioRxiv preprints and associated data, present various analyses, and introduce a website,, for sorting bioRxiv preprints based on Twitter activity and PDF downloads. I selected this article for two reasons. First, the analysis received a lot of attention on social media, particularly (1) correlations between Journal Impact Factor and preprint popularity, (2) delays between preprint and journal publication and (3) the fraction of preprints that are eventually published in journals. »