Immune epitope database analysis resource is a dataset published in Nucleic Acids Research (2012). On theSindex it has a DataRank of 7.3, placing it in the top 2.4% of the data-sharing corpus. It has been cited 521 times, with 100 citing works in its 1-hop citation network. Its calibrated FAIR score is 45/100.
Ranks in the top 2% 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 provides a narrative description of the IEDB-AR tools and updates but lacks explicit mention of machine-readable metadata (e.g., structured metadata, ontologies, or standardized identifiers) for the data or tools.
Open Access
0 OA location(s)
The paper clearly describes web access, API (RESTful HTTP), standalone packages (tarball/Ubuntu packages), and virtual machine images for IEDB-AR, making the tools accessible via multiple protocols.
linked_datasets=0, datacite=0
accessions=0, trials=0
The paper uses standard bioinformatics formats (e.g., FASTA, PDB, ClustalW) and refers to standard identifiers (MHC alleles, PDB IDs), but does not explicitly state use of machine-readable controlled vocabularies or community standards for interoperability.
no license
downloads=0
no version chain
is_dataset
The paper states an open-access license (Creative Commons BY-NC 3.0) and provides downloadable tools for non-commercial use, but lacks a formal data-availability statement for the underlying datasets and detailed reproducibility instructions.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.939
From this paper's citation signal
Citation Network Contribution
6.4
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.