Alzheimer’s disease classification using features extracted from nonsubsampled contourlet subband-based individual networks is a research paper published in Neurocomputing (2020). On theSindex it has a DataRank of 0.550. It has been cited 38 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
0.550
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 Key Research and Development Program of China
Grant: 2016YFC0903400
National Key Research and Development Program of China
Grant: 2017YFA0505500
National Natural Science Foundation of China
Grant: 31930022
National Natural Science Foundation of China
Grant: 61473232
National Natural Science Foundation of China
Grant: 91430111
National Natural Science Foundation of China
Grant: 11871456
National Natural Science Foundation of China
Grant: 31771476
National Natural Science Foundation of China
Grant: 61873202
National Natural Science Foundation of China
Grant: 81471047
National Institutes of Health
Grant: U01 AG024904
Chinese Academy of Sciences
Grant: XDB38040400
U.S. Department of Defense
Grant: W81XWH-12-2-0012
Science and Technology Commission of Shanghai Municipality
Grant: 2017SHZDZX01
FWCI
2.90
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals