Clustering rare diseases within an ontology-enriched knowledge graph is a dataset published in Journal of the American Medical Informatics Association (2023). On theSindex it has a DataRank of 0.770, placing it in the top 26.1% of the data-sharing corpus. It has been cited 21 times, with 19 citing works in its 1-hop citation network.
Ranks in the top 26% 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.464
From this paper's citation signal
Citation Network Contribution
0.306
From 11 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 19 citers.
National Institutes of Health
Grant: ZIC TR000410-03
Intramural NIH HHS
Grant: ZIC TR000410
National Institutes of Health
Grant: 1ZICTR000410-04
Informatics Research
NCATS NIH HHS
Intramural Research Program
National Center for Advancing Translational Sciences
NCATS NIH HHS
FWCI
1.95
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals