Generating contextual embeddings for emergency department chief complaints is a dataset published in JAMIA Open (2020). On theSindex it has a DataRank of 1.4, placing it in the top 14.5% of the data-sharing corpus. It has been cited 22 times, with 21 citing works in its 1-hop citation network.
Ranks in the top 15% 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
0.470
From this paper's citation signal
Citation Network Contribution
0.953
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 21 citers.
NIH
Grant: 5T15LM007056-33
Biomedical Informatics and Data Science Training at Yale
NCATS NIH HHS
Grant: UL1 TR001863
FWCI
2.96
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals