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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.

The commitment of the human cell atlas to humanity

Nature Communications(2024)10.1038/s41467-024-54306-xSource: DataRank Database

The commitment of the human cell atlas to humanity is a dataset published in Nature Communications (2024). On theSindex it has a DataRank of 0.727, placing it in the top 44.9% of the data-sharing corpus. It has been cited 19 times, with 16 citing works in its 1-hop citation network. Its calibrated FAIR score is 36/100.

Top 45%percentile
0.727DataRank
0.727Top 45%
Dataset Open Access19 citations · base score 2.7
Cite:
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

The Human Cell Atlas (HCA) is a global partnership "to create comprehensive reference maps of all human cells-the fundamental units of life - as a basis for both understanding human health and diagnosing, monitoring, and treating disease." ( https://www.humancellatlas.org/ ) The atlas shall characterize cells from diverse individuals across the globe to better understand human biology. HCA proactively considers the priorities of, and benefits accrued to, contributing communities. Here, we lay out principles and action items that have been adopted to affirm HCA's commitment to equity so that the atlas is beneficial to all of humanity.

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 (1/3)
    • Dataset classification

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

    36FAIR score
    F Findable
    53
    A Accessible
    55
    I Interoperable
    13
    R Reusable
    25
    Top 82% by FAIRLLM-assessed✓ full text read

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

    DataRank Breakdown

    Base Score 56%Citation Network 44%

    Base Score Contribution

    0.406

    From this paper's citation signal

    Citation Network Contribution

    0.320

    From 8 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.

    1. Initial sequencing and analysis of the human genome
      Nature200124,542 citationsDataRank 17.1Top 10%
    2. Impact of the Human Cell Atlas on medicine
      Nature Medicine2022222 citationsDataRank 5.7Top 28%
    Why this DataRank?

    DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 56% comes from its base citations and 44% from the citation network (8 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

    Authors (43)