Research Article: “Rxivist.org: Sorting Biology Preprints Using Social Media and Readership Metrics” (Preprint)

The article (preprint, uncorrected proof) linked below was recently published by PLoS One.

Title

Rxivist.org: Sorting Biology Preprints Using Social Media and Readership Metrics

Authors

Richard J. Abdill
University of Minnesota

Ran Blekhman
University of Minnesota

Source

PLoS ONE 17(5): e3000269
DOI: doi.org/10.1371/journal.pone.3000269

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.

Direct to Full Text Article

Direct to Rxivist.org

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