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
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/docsLinks
Issue tracker
https://github.com/blekhmanlab/rxivist/issuesRepository
https://github.com/blekhmanlab/rxivist