Novel methodology for detection and prediction of mild cognitive impairment using resting‐state EEG is a dataset published in Alzheimer s & Dementia (2023). On theSindex it has a DataRank of 0.684, placing it in the top 29.2% of the data-sharing corpus. It has been cited 23 times, with 19 citing works in its 1-hop citation network.
Ranks in the top 29% 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
0.477
From this paper's citation signal
Citation Network Contribution
0.207
From 12 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 19 citers.
National Science Foundation
Grant: 2032709
National Institutes of Health
Grant: R21‐AG046637
National Institutes of Health
Grant: R01‐AG054484
National Institutes of Health
Grant: P30AG024824
National Institutes of Health
Grant: P30AG053760
National Institutes of Health
Grant: P30AG072931
Alzheimer's Association
Grant: HAT‐07‐60437
Javna Agencija za Raziskovalno Dejavnost RS
Grant: P3‐0366/2451
Alzheimer's Association
Grant: HAT-07-60437
NIA NIH HHS
Grant: R21 AG046637
NIH HHS
Grant: R21-AG046637
NIA NIH HHS
Grant: R01 AG054484
NIH HHS
Grant: R01-AG054484
FWCI
3.02
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals