🏆 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.

Initial sequencing and analysis of the human genome

Nature(2001)10.1038/35057062Source: DataRank Database

Initial sequencing and analysis of the human genome is a dataset published in Nature (2001). On theSindex it has a DataRank of 17.1, placing it in the top 9.6% of the data-sharing corpus. It has been cited 24,542 times, with 139 citing works in its 1-hop citation network. Its calibrated FAIR score is 65/100.

Top 10%percentile
17.1DataRank
17.1Top 10%
Dataset Open Access24542 citations · base score 10.1
Cite:
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.

65FAIR score
F Findable
100
A Accessible
70
I Interoperable
50
R Reusable
42
Top 4% by FAIRdeterministic✓ full text read

Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →

DataRank Breakdown

Base Score 9%Citation Network 91%

Base Score Contribution

1.5

From this paper's citation signal

Citation Network Contribution

15.5

From 139 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 9% comes from its base citations and 91% from the citation network (139 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 →

Click a node to highlight its connections. Use scroll to zoom. Drag to pan.

Node colors:CenterData PaperData + Open AccessNon-dataSelected & links| Node size = percentile rank