🏆 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.

Plexin-A4 Mediates Axon-Repulsive Activities of Both Secreted and Transmembrane Semaphorins and Plays Roles in Nerve Fiber Guidance

The Journal of Neuroscience(2005)10.1523/jneurosci.4480-04.2005Source: DataRank Database
N/A
9.8DataRank · unranked
9.8
217 citations · base score 5.4
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 (0/3)

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

        68FAIR score
        F Findable
        100
        A Accessible
        70
        I Interoperable
        50
        R Reusable
        50
        Top 5% by FAIRdeterministic

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

        DataRank Breakdown

        Base Score 8%Citation Network 92%

        Base Score Contribution

        0.808

        From this paper's citation signal

        Citation Network Contribution

        9.0

        From 183 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 8% comes from its base citations and 92% from the citation network (183 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 (11)

        Keisuke Ito,Masato Uemura,Masayuki Shimizu,Yutaka Shinkawa,Makoto Sanbo

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