Rxivist.org: Sorting biology preprints using social media and readership metrics

Richard J. Abdill, Ran Blekhman

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Preprints have arrived. In increasing numbers, researchers across the life sciences are embracing the once-niche practice, shaking off decades of reluctance and posting hundreds of papers per week to preprint servers, sharing their findings with the community before embarking on the weary march through peer review. However, there are limited methods for individuals sifting through this avalanche of research to identify the preprints that are most relevant to their interests. Here, we describe Rxivist.org, a website that indexes all preprints posted to bioRxiv.org, the largest preprint server in the life sciences, and allows users to filter and sort papers based on download metrics and Twitter activity over a variety of categories and time periods. In this work, we hope to make it easier for readers to find relevant research on bioRxiv and to improve the visibility of preprints currently being read and discussed online.

Original languageEnglish (US)
Article numbere3000269
JournalPLoS biology
Volume17
Issue number5
DOIs
StatePublished - May 21 2019

Bibliographical note

Funding Information:
RB is supported by the National Institutes of General Medicine (R35-GM128716) and a McKnight Land-Grant Professorship from the University of Minnesota. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Publisher Copyright:
Copyright: © 2019 Abdill, Blekhman. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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  • Preprints in biology

    Abdill, R. J.

    7/1/18 → …

    Project: Research project

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