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 Gene Ontology resource: enriching a GOld mine

(2020)10.1093/nar/gkaa1113Source: DataRank Database

The Gene Ontology resource: enriching a GOld mine is a research paper (2020). On theSindex it has a DataRank of 13.0. It has been cited 3,876 times, with 200 citing works in its 1-hop citation network.

N/A

13.0DataRank · unranked

13.0

Open Access3876 citations · base score 8.3

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 (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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

Run a calibrated FAIR evaluation for this paper →

DataRank Breakdown

Base Score 10%Citation Network 90%

Base Score Contribution

1.2

From this paper's citation signal

Citation Network Contribution

11.7

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(C_q) over citers.

The STRING database in 2023: protein–protein association networks and functional enrichment analyses for any sequenced genome of interest
Nucleic Acids Research20228,502 citationsDataRank 9.4Top 23%
An integrated cell atlas of the lung in health and disease
Nature Medicine2023736 citationsDataRank 5.9Top 27%
An integrated cell atlas of the human lung in health and disease
202297 citationsDataRank 2.7Top 33%
Inhalable Stem Cell Exosomes Promote Heart Repair After Myocardial Infarction
Circulation202484 citationsDataRank 0.666
MOET: a web-based gene set enrichment tool at the Rat Genome Database for multiontology and multispecies analyses
Genetics202214 citationsDataRank 0.602

Why this DataRank?

DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 10% comes from its base citations and 90% 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(C_q) ÷ max(outdegree_q, 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 →

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