Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia is a research paper published in NeuroImage (2020). On theSindex it has a DataRank of 0.550. It has been cited 38 times.
Scored on demand from live citation data
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
0.550
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 Institutes of Health
Grant: R01EB020407
National Institutes of Health
Grant: P20GM103472
National Institutes of Health
Grant: R01 MH118695
National Institutes of Health
Grant: P30GM12 2734
National Institutes of Health
Grant: R01EB006841
National Science Foundation
Grant: OAC-1726023
National Science Foundation
Grant: CNS-0821258
National Science Foundation
Grant: CNS-1228778
National Science Foundation
Grant: DMS-0821311
National Science Foundation
Grant: 1539067
NIMH NIH HHS
Grant: R01 MH123610
National Science Foundation
National Institutes of Health
FWCI
2.08
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords