Disjoint subspaces for common and distinct component analysis: Application to the fusion of multi-task FMRI data is a research paper published in Journal of Neuroscience Methods (2021). On theSindex it has a DataRank of 0.425. It has been cited 16 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
0.425
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 Science Foundation Directorate for Engineering
Grant: 1618551
National Science Foundation Directorate for Engineering
Grant: 1631838
National Institutes of Health
Grant: R01 MH118695
NIBIB NIH HHS
Grant: R01 EB020407
NIA NIH HHS
Grant: R01 AG073949
NIMH NIH HHS
Grant: R01 MH123610
National Institutes of Health
National Science Foundation Directorate for Engineering
FWCI
0.84
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals