The Mexican Cognitive Aging Ancillary Study (Mex-Cog): Study Design and Methods is a dataset published in Archives of Gerontology and Geriatrics (2020). On theSindex it has a DataRank of 1.5, placing it in the top 13.9% of the data-sharing corpus. It has been cited 44 times, with 36 citing works in its 1-hop citation network.
Ranks in the top 14% for downstream scientific impact
Linked data & code
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
0.571
From this paper's citation signal
Citation Network Contribution
0.927
From 23 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 36 citers.
National Institute on Aging
Grant: R01 AG051158
National Institute on Aging
Grant: R01 AG018016
National Institutes of Health
Grant: 2R01AG018016-06A1
The Mexican Health and Aging Study - II
National Institutes of Health
Grant: 5R01AG051158-02
MHAS Cognitive Aging Ancillary Study
National Institutes of Health
World Health Organization
FWCI
2.26
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals