RefSeq: an update on mammalian reference sequences is a dataset published in Nucleic Acids Research (2014). On theSindex it has a DataRank of 10.4, placing it in the top 1.2% of the data-sharing corpus. It has been cited 1,015 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 58/100.
Ranks in the top 1% for downstream scientific impact
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Full FAIR picture · advisory
This score predates the current agent — it came from the earlier rubric, which blended repository metadata into the number and asked the model for a rating rather than an evidenced verdict. Re-evaluate the paper to score it against the current standards-anchored criteria, where every verdict is backed by a quote from the full text.
DOI present
datacite=25, pmcid=True, pmid=True
no OpenAlex id
The paper mentions structured comments like 'Evidence Data' and 'RefSeq Attributes' with ECO identifiers, but provides no evidence that the metadata is machine-readable (e.g., in a standard schema like JSON-LD or RDF) or that the paper itself includes rich, structured metadata beyond human-readable text.
files/OA location present but not flagged OA
14 OA location(s)
The paper clearly describes FTP and web access for RefSeq data, including URLs for downloads and a mail list, but does not explicitly state the license for access (though it mentions 'public domain' for the specific paper, not necessarily for all data) and lacks details on authentication or API endpoints for machine access.
linked_datasets=0, datacite=25
accessions=0, trials=0
The paper uses standard identifiers (NCBI accessions, ECO IDs, RefSeq prefixes) and mentions community vocabularies, but does not demonstrate use of broad interoperability standards like Dublin Core for metadata or FAIR vocabularies beyond its own domain.
no license
downloads=0
no version chain
is_dataset
The paper describes data availability via FTP and web, includes a brief statement about being 'public domain in the US' for the paper, but lacks a formal data-availability statement, explicit license for the data, and sufficient details to fully reproduce the analysis (e.g., exact pipeline version, full configuration).
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
1.0
From this paper's citation signal
Citation Network Contribution
9.3
From 100 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
Wellcome Trust
Grant: unidentified
unidentified
Wellcome Trust
Intramural NIH HHS
Wellcome Trust
Intramural NIH HHS
FWCI
61.34
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
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