🏆 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.

Finishing the euchromatic sequence of the human genome

Nature(2004)10.1038/nature03001Source: DataRank Database

Finishing the euchromatic sequence of the human genome is a dataset published in Nature (2004). On theSindex it has a DataRank of 20.0, placing it in the top 5.2% of the data-sharing corpus. It has been cited 4,903 times, with 200 citing works in its 1-hop citation network. Its calibrated FAIR score is 65/100.

Top 5%percentile
20.0DataRank
20.0Top 5%
Dataset4903 citations · base score 8.5
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 (1/2)
  • Has DOI
Accessible (0/2)
    Interoperable (0/2)
      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 5% 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 6%Citation Network 94%

      Base Score Contribution

      1.3

      From this paper's citation signal

      Citation Network Contribution

      18.7

      From 200 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 6% comes from its base citations and 94% from the citation network (200 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