Benchmarking the generalizability of brain age models: Challenges posed by scanner variance and prediction bias is a research paper published in Human Brain Mapping (2022). On theSindex it has a DataRank of 0.587. It has been cited 49 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?
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Base Score Contribution
0.587
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 →NIMH NIH HHS
Grant: U01 MH109589
NIH HHS
Grant: S10 OD030477
National Science Foundation
Grant: DGE‐2139839
National Institute of Mental Health
Grant: MH064769
NIH HHS
Grant: S10 OD025200
National Science Foundation
Grant: DGE‐1745038
National Institute of Mental Health
Grant: MH090876
NIA NIH HHS
Grant: U01 AG068057
NIH HHS
Grant: S10 OD023495
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