Incorporating the human gene annotations in different databases significantly improved transcriptomic and genetic analyses is a dataset published in RNA (2013). On theSindex it has a DataRank of 1.3, placing it in the top 15.5% of the data-sharing corpus. It has been cited 29 times, with 20 citing works in its 1-hop citation network. Its calibrated FAIR score is 39/100.
Ranks in the top 15% 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=4, pmcid=True, pmid=True
no OpenAlex id
The paper provides no machine-readable metadata such as structured data descriptions, schema.org markup, or formal metadata standards.
files/OA location present but not flagged OA
9 OA location(s)
The paper mentions that data were downloaded from public databases (UCSC, Ensembl, NCBI) and that RNA-seq data are from public sources, but does not provide a direct link or accession numbers for the specific datasets used or generated.
linked_datasets=0, datacite=4
accessions=0, trials=0
The paper uses standard genomic coordinates (GRCh37/hg19) and common file formats (e.g., BAM, FPKM), but does not specify use of formal community vocabularies or identifiers beyond standard database names.
no license
downloads=0
no version chain
is_dataset
No data-availability statement, license, or explicit reproducibility instructions are provided; the paper only states that data were downloaded from public sources without specifying how to access the exact datasets used.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.510
From this paper's citation signal
Citation Network Contribution
0.820
From 15 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 20 citers.
Fields of Study
MeSH Terms
Additional file 1 of Impact of human gene annotations on RNA-seq differential expression analysis
Additional file 1 of Impact of human gene annotations on RNA-seq differential expression analysis
Additional file 3 of Impact of human gene annotations on RNA-seq differential expression analysis
Additional file 3 of Impact of human gene annotations on RNA-seq differential expression analysis