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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.

Histone, Nucleosome, and Chromatin Structure

Fundamentals of Chromatin(2014)10.1007/978-1-4614-8624-4_1Source: DataRank Database

Histone, Nucleosome, and Chromatin Structure is a research paper published in Fundamentals of Chromatin (2014). On theSindex it has a DataRank of 0.587. It has been cited 17 times, with 14 citing works in its 1-hop citation network.

N/A
0.587DataRank · unranked
0.587
17 citations · base score 2.9
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 (0/3)

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

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        DataRank Breakdown

        Base Score 74%Citation Network 26%

        Base Score Contribution

        0.434

        From this paper's citation signal

        Citation Network Contribution

        0.153

        From 7 citing papers with measurable signal

        Learn more about DataRank methodology →

        Top 1 citer driving the network score

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

        1. Structure and Scm3-mediated assembly of budding yeast centromeric nucleosomes
          Nature Communications2011121 citationsDataRank 4.6
        Why this DataRank?

        DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 74% comes from its base citations and 26% from the citation network (7 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 →

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

        Authors (2)

        Song Tan,Robert K. McGinty