🏆 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.

Complete sequencing of ape genomes

(2024)10.1101/2024.07.31.605654Source: DataRank Database

Complete sequencing of ape genomes is a dataset (2024). On theSindex it has a DataRank of 0.569, placing it in the top 47.4% of the data-sharing corpus. It has been cited 25 times, with 6 citing works in its 1-hop citation network. Its calibrated FAIR score is 47/100.

Top 47%percentile
0.569DataRank
0.569Top 47%
Dataset Open Access25 citations · base score 3.2
Cite:
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

ABSTRACT We present haplotype-resolved reference genomes and comparative analyses of six ape species, namely: chimpanzee, bonobo, gorilla, Bornean orangutan, Sumatran orangutan, and siamang. We achieve chromosome-level contiguity with unparalleled sequence accuracy (<1 error in 500,000 base pairs), completely sequencing 215 gapless chromosomes telomere-to-telomere. We resolve challenging regions, such as the major histocompatibility complex and immunoglobulin loci, providing more in-depth evolutionary insights. Comparative analyses, including human, allow us to investigate the evolution and diversity of regions previously uncharacterized or incompletely studied without bias from mapping to the human reference. This includes newly minted gene families within lineage-specific segmental duplications, centromeric DNA, acrocentric chromosomes, and subterminal heterochromatin. This resource should serve as a definitive baseline for all future evolutionary studies of humans and our closest living ape relatives.

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.

    47FAIR score
    F Findable
    53
    A Accessible
    68
    I Interoperable
    25
    R Reusable
    42
    Top 56% 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 85%Citation Network 15%

    Base Score Contribution

    0.483

    From this paper's citation signal

    Citation Network Contribution

    0.0860

    From 5 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. The Sequence of the Human Genome
      Science200113,648 citationsDataRank 18.7Top 7%
    3. The complete sequence of a human genome
      Science20223,274 citationsDataRank 8.5Top 24%
    4. Great ape genetic diversity and population history
      Nature2013975 citationsDataRank 7.0Top 26%
    5. The complete sequence of a human Y chromosome
      Nature2023452 citationsDataRank 5.2Top 28%
    Why this DataRank?

    DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 85% comes from its base citations and 15% from the citation network (5 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 (128)