Rxivist.org

Rxivist.org indexes bioRxiv preprints and aggregates download counts and Twitter-based engagement metrics to identify and track influential life sciences preprints.


Key Features:

  • Indexing bioRxiv preprints: Rxivist.org indexes all preprints available on bioRxiv.org to provide a comprehensive catalog.
  • Filtering and sorting by metrics: The platform enables ranking of preprints based on download counts and social media activity metrics.
  • Twitter-based social media metrics: Twitter activity data are incorporated to quantify online engagement for each preprint.
  • Time-period trend analysis: The system provides analysis of metric trends over various time periods to track changes in preprint attention.

Scientific Applications:

  • Literature prioritization for researchers: Rapidly identify high-attention preprints for literature reviews and experimental planning.
  • Support for educators: Highlight emerging and widely discussed preprints for inclusion in curricula and reading lists.
  • Decision support for policymakers: Provide timely visibility into influential preprints to inform policy and research-direction decisions.

Methodology:

Rxivist.org leverages data analytics to process and present download metrics and social media interactions associated with each preprint.

Topics

Details

License:
AGPL-3.0
Maturity:
Mature
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
8/9/2019
Last Updated:
6/16/2020

Operations

Data Inputs & Outputs

Data retrieval

Publications

Abdill RJ, Blekhman R. Rxivist.org: Sorting biology preprints using social media and readership metrics. PLOS Biology. 2019;17(5):e3000269. doi:10.1371/journal.pbio.3000269. PMID:31112533. PMCID:PMC6546241.

Documentation

API documentation
https://rxivist.org/docs

Links