Cross-tissue Analysis of Gene and Protein Expression in Normal and Cancer Tissues is a dataset published in Scientific Reports (2016). On theSindex it has a DataRank of 5.2, placing it in the top 4.1% of the data-sharing corpus. It has been cited 218 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 39/100.
Ranks in the top 4% for downstream scientific impact
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=0, pmcid=True, pmid=True
no OpenAlex id
The paper does not describe any machine-readable metadata or structured metadata provision; only human-readable figures and tables are present.
Open Access
0 OA location(s)
Data sources (GTEx, HPM, TCPA) are named with URLs/accessions, but the paper does not provide a clear, direct link or protocol to access the exact dataset or code used in the analysis.
linked_datasets=0, datacite=0
accessions=0, trials=0
The paper uses standard file formats (e.g., RPKM) and common identifiers (gene symbols), but does not specify use of formal ontologies or standardized vocabularies for tissue types or assays.
no license
downloads=0
no version chain
is_dataset
A CC-BY 4.0 license is provided, but there is no explicit data availability statement for the derived dataset, no sharing of analysis code, and insufficient detail to fully reproduce the analysis without accessing external sources.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.808
From this paper's citation signal
Citation Network Contribution
4.3
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.
NCI NIH HHS
Grant: U24 CA195858
NIGMS NIH HHS
Grant: R01 GM079719
FWCI
12.20
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals