Altered global signal topography in Alzheimer's disease is a dataset published in EBioMedicine (2023). On theSindex it has a DataRank of 0.981, placing it in the top 20.7% of the data-sharing corpus. It has been cited 31 times, with 26 citing works in its 1-hop citation network.
Ranks in the top 21% for downstream scientific impact
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
0.520
From this paper's citation signal
Citation Network Contribution
0.461
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 26 citers.
National Institutes of Health
Grant: U01 AG024904
Beijing Natural Science Foundation
Grant: JQ20036
U.S. Department of Defense
Grant: W81XWH-12-2-0012
Fundamental Research Funds for the Central Universities
Grant: 2021XD-A03
National Natural Science Foundation of China
Grant: 81871438
National Natural Science Foundation of China
Grant: 81901101
National Natural Science Foundation of China
Grant: 81571062
National Natural Science Foundation of China
Grant: 81471120
National Natural Science Foundation of China
Grant: 82172018
National Natural Science Foundation of China
Grant: 81400890
National Natural Science Foundation of China
Grant: 61633018
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
Canadian Institutes of Health Research
Grant: unidentified
unidentified
Eli Lilly and Company
Alzheimer's Disease Neuroimaging Initiative
National Institute on Aging
Northern California Institute for Research and Education
F. Hoffmann-La Roche
National Institute of Biomedical Imaging and Bioengineering
University of Southern California
FWCI
4.02
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals