Multiframe Evolving Dynamic Functional Connectivity (EVOdFNC): A Method for Constructing and Investigating Functional Brain Motifs is a research paper published in Frontiers in Neuroscience (2022). On theSindex it has a DataRank of 0.345. It has been cited 9 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
0.345
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: 1R01MH123610-01A1
Data-driven solutions for temporal, spatial, and spatiotemporal dynamic functional connectivity
National Science Foundation
Grant: 2112455
CREST Center for Dynamic Multiscale and Multimodal Brain Mapping Over The Lifespan [D-MAP]
National Institutes of Health
National Science Foundation
FWCI
0.94
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords