Toward expert-level medical question answering with large language models is a research paper published in Nature Medicine (2025). On theSindex it has a DataRank of 10.3. It has been cited 793 times, with 200 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
1.0
From this paper's citation signal
Citation Network Contribution
9.3
From 200 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 200 citers.
NIDA NIH HHS
Grant: UG1 DA015815
NCATS NIH HHS
Grant: UM1 TR004921
National Institutes of Health
Grant: 5UM1TR004921-02
Stanford Center for Clinical and Translational Research and Education
National Institutes of Health
Grant: 3UG1DA015815-21S2
Medication for Opioid Use Disorder, Predictability of Retention vs Attrition
FWCI
928.35
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals