Deep learning to quantify the pace of brain aging in relation to neurocognitive changes is a research paper published in Proceedings of the National Academy of Sciences (2025). On theSindex it has a DataRank of 0.406. It has been cited 14 times.
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
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →HHS | National Institutes of Health
Grant: 100973
Center for Hierarchical Manufacturing, National Science Foundation
Grant: CPS/CNS-1453860
NINDS NIH HHS
Grant: R01 NS100973
NIA NIH HHS
Grant: T32 AG000037
NIA NIH HHS
Grant: RF1 AG082201
NIA NIH HHS
Grant: R01 AG079957
NIA NIH HHS
Grant: P30 AG017265
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