BIP! DB: Impact Measures for 128.5 Million Scientific Articles

BIP! DB contains impact metrics for approximately 128.5 million scientific articles. The dataset, produced by CERN and the European Commission, provides five distinct citation-based measures including citation count, 3-year incubation citation count, PageRank, RAM, and AttRank scores. It was last updated in September 2023 and is derived from OpenCitations' COCI, MAG, and Crossref sources.

Use Cases

• Ranking article influence based on PageRank scores derived from citation networks.
• Assessing a paper's initial momentum using the 3-year incubation citation count.
• Identifying currently trending articles based on the time-aware RAM and AttRank scores.
• Comparing traditional citation counts with network-based and recency-weighted impact measures.

Strengths

• Contains metrics for approximately 128.5 million articles, providing a large-scale view of scientific impact.
• Offers five distinct, algorithmically defined impact measures, allowing for multi-faceted analysis.
• Derived from a union of three major citation sources: OpenCitations COCI, MAG, and Crossref.
• Clear license (CC-BY-4.0) from a reputable organization (CERN and European Commission).

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal bias inherent to the source snapshots from late 2021 and early 2022.

Provenance

Source

CERN - European Organization for Nuclear Research and European Commission

Collection Method

Calculated from a union of DOI-to-DOI citations gathered from OpenCitations’ COCI (Jan-2022), MAG (Dec-2021), and Crossref (Dec-2021).

Freshness

Last updated 2023-09-01 00:00:00; freshness should be verified.