Measuring quality-of-care in treatment of young children with attention-deficit/hyperactivity disorder using pre-trained language models is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0.471, placing it in the top 40.4% of the data-sharing corpus. It has been cited 13 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 40% 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
0.396
From this paper's citation signal
Citation Network Contribution
0.0750
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institutes of Health
Grant: K23MH128455
Advanced Data and Analytics for Behavioral and Social Sciences Research
Grant: TADA-BSSR
National Heart, Lung, and Blood Institute
Grant: 1T32HL151323
NHLBI NIH HHS
Grant: T32 HL151323
National Institute of Mental Health
NIH
Stanford Maternal and Child Health Research Institute
FWCI
3.68
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals