LATTE: Label-efficient incident phenotyping from longitudinal electronic health records is a research paper published in Patterns (2023). On theSindex it has a DataRank of 0.449. It has been cited 10 times, with 5 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.360
From this paper's citation signal
Citation Network Contribution
0.0896
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Institutes of Health
Grant: P30 ARAR72577
U.S. Food and Drug Administration
Grant: U01 FD007929
NIAMS NIH HHS
Grant: R01 AR080193
NLM NIH HHS
Grant: R01 LM013614
Office of Research and Development
FWCI
1.28
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals