Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease is a research paper published in Health Science Reports (2023). On theSindex it has a DataRank of 0.680. It has been cited 14 times, with 13 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
0.406
From this paper's citation signal
Citation Network Contribution
0.274
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 13 citers.
NLM NIH HHS
Grant: R56 LM013365
NIA NIH HHS
Grant: P30 AG059307
National Institutes of Health
Grant: 5P30AG059307-03
Stanford Aging & Ethnogeriatrics Transdisciplinary Collaborative Center (SAGE)
National Institutes of Health
Grant: 1R56LM013365-01A1
Machine Learning Clinical Order Recommendations for Specialty Consultation Care
National Institutes of Health
Grant: 3UG1DA015815-21S2
Medication for Opioid Use Disorder, Predictability of Retention vs Attrition
FWCI
2.53
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals