Mini-mental status examination phenotyping for Alzheimer’s disease patients using both structured and narrative electronic health record features is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0.253, placing it in the top 59.5% of the data-sharing corpus. It has been cited 4 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 60% 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
0.241
From this paper's citation signal
Citation Network Contribution
0.0120
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 3 citers.
NCATS NIH HHS
Grant: OT2 TR003434
National Library of Medicine
Grant: T15LM007079
National Institute of Aging
Grant: AG066462
NIA NIH HHS
Grant: P30 AG066462
National Library of Medicine
Grant: R01LM009886
National Center for Advancing Clinical and Translational Science
Grant: UL1TR001873
NIH HHS
National Institutes of Health
MeSH Terms
Keywords