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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.

Initial sequencing and comparative analysis of the mouse genome

Nature(2002)10.1038/nature01262Source: DataRank Database

Initial sequencing and comparative analysis of the mouse genome is a dataset published in Nature (2002). On theSindex it has a DataRank of 16.2, placing it in the top 10.3% of the data-sharing corpus. It has been cited 7,236 times, with 142 citing works in its 1-hop citation network. Its calibrated FAIR score is 65/100.

Top 10%percentile
16.2DataRank
16.2Top 10%
Dataset Open Access7236 citations · base score 8.9
Cite:
datarank_citation_only_1hop_v6· scope data_onlyMethodology

Abstract

The sequence of the mouse genome is a key informational tool for understanding the contents of the human genome and a key experimental tool for biomedical research. Here, we report the results of an international collaboration to produce a high-quality draft sequence of the mouse genome. We also present an initial comparative analysis of the mouse and human genomes, describing some of the insights that can be gleaned from the two sequences. We discuss topics including the analysis of the evolutionary forces shaping the size, structure and sequence of the genomes; the conservation of large-scale synteny across most of the genomes; the much lower extent of sequence orthology covering less than half of the genomes; the proportions of the genomes under selection; the number of protein-coding genes; the expansion of gene families related to reproduction and immunity; the evolution of proteins; and the identification of intraspecies polymorphism.

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.

    65FAIR score
    F Findable
    100
    A Accessible
    70
    I Interoperable
    50
    R Reusable
    42
    Top 6% by FAIRdeterministic✓ full text read

    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

    1.3

    From this paper's citation signal

    Citation Network Contribution

    14.9

    From 142 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. An integrated encyclopedia of DNA elements in the human genome
      Nature201219,311 citationsDataRank 23.8Top 3%
    3. The Sequence of the Human Genome
      Science200113,648 citationsDataRank 18.7Top 7%
    4. Mutations of the BRAF gene in human cancer
      Nature200210,637 citationsDataRank 1.4
    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 (142 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 (194)