Spectral Graph Sample Weighting for Interpretable Sub-cohort Analysis in Predictive Models for Neuroimaging is a research paper published in Lecture notes in computer science (2024). 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.
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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 →NIAAA NIH HHS
Grant: R37 AA010723
NIAAA NIH HHS
Grant: U24 AA021697
NIAAA NIH HHS
Grant: U01 AA021696
NIAAA NIH HHS
Grant: U01 AA021691
NIAAA NIH HHS
Grant: U01 AA021695
NIAAA NIH HHS
Grant: U01 AA021692
NIAAA NIH HHS
Grant: K99 AA028840
NIAAA NIH HHS
Grant: R00 AA028840
NIAAA NIH HHS
Grant: U24 AA021695
NIAAA NIH HHS
Grant: U01 AA021690
NIDA NIH HHS
Grant: R01 DA057567
NIAAA NIH HHS
Grant: U01 AA021697
NIAAA NIH HHS
Grant: R01 AA010723
FWCI
0.65
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords