🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge
Demo corpus. Scores are computed on a select set of biomedical paper/datasets and may be inaccurate for papers outside this corpus — DataRank relies on network effects that improve with scale. We aim to expand this into a fully open resource pending additional funding.

The Tabula Sapiens: A multiple-organ, single-cell transcriptomic atlas of humans

Science(2022)10.1126/science.abl4896Source: DataRank Database
Top 23%percentile
9.0DataRank
9.0Top 23%
Dataset Open Access
979 citations · base score 6.8
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Data sources & pipeline
Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring
Enrichment:Pending

FAIR Checklist

Context only (not used in score)
Findable (2/2)
  • Has DOI
  • Indexed in repositories
Accessible (1/2)
  • Open Access
Interoperable (2/2)
  • DataCite relations
  • Linked datasets
Reusable (1/3)
  • Dataset classification

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

DataRank Breakdown

Base Score 11%Citation Network 89%

Base Score Contribution

1.0

From this paper's citation signal

Citation Network Contribution

8.0

From 184 citing papers with measurable signal

Learn more about DataRank methodology →

Top citers

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 11% comes from its base citations and 89% from the citation network (184 citing papers contributed measurable signal).

Base score B(p)
log1p(citation_count) — grows sub-linearly, so a paper with 1,000 citations is not 10× a paper with 100.
Network N(p)
Σ over citers of log1p(Cq) ÷ max(outdegreeq, 1). Being cited by a highly-cited paper with few references counts most.
Damping factor d = 0.85
DataRank = (1−d)·B(p) + d·N(p) — the two cards above are each already multiplied by their share.
Self-citations excluded
Citers sharing any OpenAlex author ID with this paper are filtered out before the network sum.

Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.

Read the full methodology →

Authors (186)

Related Papers