A machine learning approach for quantifying age-related histological changes in the mouse kidney is a research paper published in GeroScience (2023). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
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
0.104
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 →National Institute on Aging
Grant: AG022308
National Institute on Aging
Grant: AG038070
National Institute on Aging
Grant: AG047115
National Institute on Aging
Grant: AG058543
National Institute on Aging
Grant: AG057381
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: DK131019
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: DK131061
National Institute of General Medical Sciences
Grant: GM141309
NIA NIH HHS
Grant: P30 AG038070
NIA NIH HHS
Grant: R01 AG057381
NIA NIH HHS
Grant: R56 AG058543
NIA NIH HHS
Grant: R24 AG047115
NIDDK NIH HHS
Grant: R01 DK131019
NIDDK NIH HHS
Grant: R01 DK131061
NIGMS NIH HHS
Grant: R01 GM141309
NIA NIH HHS
Grant: U01 AG022308
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