Functional connectomics from a “big data” perspective is a research paper published in NeuroImage (2017). On theSindex it has a DataRank of 0.675. It has been cited 89 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
0.675
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 →Natural Science Foundation of China
Grant: 81401479
Natural Science Foundation of China
Grant: 81671767
Natural Science Foundation of China
Grant: 81620108016
Natural Science Foundation of China
Grant: 31521063
Beijing Natural Science Foundation
Grant: Z151100003915082
Beijing Natural Science Foundation
Grant: Z161100000216125
Beijing Natural Science Foundation
Grant: Z161100000216152
Changjiang Scholar Professorship Award
Grant: T2015027
FWCI
5.13
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals