U-Index Impact Metrics for 100,000 Informatics Resources

A dataset of nearly 100,000 informatics resources, including software tools and databases, with pre-computed u-Index impact scores derived from open access publication citations. It distinguishes between 'awareness' and 'usage' citation contexts to measure resource impact over time. The dataset was compiled by Alison Callahan and made public in 2020.

Use Cases

• Analyze the ratio of usage citations to awareness citations to identify widely adopted informatics resources.
• Track the u-Index score over time for specific informatics resources to measure longitudinal impact.
• Compare citation network patterns across nearly 100,000 informatics resources to benchmark tool adoption.
• Correlate u-Index scores with publication attributes from the open access citing universe to study impact drivers.

Strengths

• Pre-computed u-Index values for nearly 100,000 informatics resources provide a ready-to-use impact metric.
• Citation network data differentiates between 'awareness' and 'usage' contexts, adding analytical depth.
• Derived from a citing universe of open access publications, ensuring transparency and reproducibility.

Limitations

• The dataset's temporal coverage and update frequency are not specified, potentially limiting analysis of recent trends.
• Reliance on open access publications may introduce bias if certain fields or regions have lower open access rates.
• The specific number of rows, columns, and file structure are unknown, complicating initial data assessment.

Provenance

Source

Dryad digital repository.

Collection Method

Compiled from informatics resource publications and their citation network within open access literature.

Freshness

Last updated on 2020-06-24; update frequency is unknown.