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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 Simons Genome Diversity Project: 300 genomes from 142 diverse populations

Nature(2016)10.1038/nature18964Source: DataRank Database

The Simons Genome Diversity Project: 300 genomes from 142 diverse populations is a dataset published in Nature (2016). On theSindex it has a DataRank of 8.5, placing it in the top 24.1% of the data-sharing corpus. It has been cited 1,762 times, with 97 citing works in its 1-hop citation network. Its calibrated FAIR score is 34/100.

Top 24%percentile
8.5DataRank
8.5Top 24%
Dataset Open Access1762 citations · base score 7.4
Cite:
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

Here we report the Simons Genome Diversity Project data set: high quality genomes from 300 individuals from 142 diverse populations. These genomes include at least 5.8 million base pairs that are not present in the human reference genome. Our analysis reveals key features of the landscape of human genome variation, including that the rate of accumulation of mutations has accelerated by about 5% in non-Africans compared to Africans since divergence. We show that the ancestors of some pairs of present-day human populations were substantially separated by 100,000 years ago, well before the archaeologically attested onset of behavioural modernity. We also demonstrate that indigenous Australians, New Guineans and Andamanese do not derive substantial ancestry from an early dispersal of modern humans; instead, their modern human ancestry is consistent with coming from the same source as that of other non-Africans.

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.

    34FAIR score
    F Findable
    69
    A Accessible
    53
    I Interoperable
    0
    R Reusable
    13
    Top 84% by FAIRLLM-assessed⚠ abstract only
    Estimated from the abstract only. The agent couldn't read this paper's full text, so body-dependent criteria (data-availability statement, formats, license) are inferred. For a confident score, upload the PDF or supply full text →

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

    DataRank Breakdown

    Base Score 13%Citation Network 87%

    Base Score Contribution

    1.1

    From this paper's citation signal

    Citation Network Contribution

    7.4

    From 97 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. PLINK: A Tool Set for Whole-Genome Association and Population-Based Linkage Analyses
      The American Journal of Human Genetics200735,753 citationsDataRank 1.6
    2. An integrated map of genetic variation from 1,092 human genomes
      Nature20128,207 citationsDataRank 25.2Top 2%
    3. A Draft Sequence of the Neandertal Genome
      Science20104,537 citationsDataRank 10.4Top 20%
    Why this DataRank?

    DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 13% comes from its base citations and 87% from the citation network (97 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 (91)

    Related Papers (10)

    Nature(2015)
    co-citedsame journal
    10.1038/nature15393
    Nucleic Acids Research(1999)
    co-cited
    10.1093/nar/27.2.573