Virtual Connectomic Datasets in Alzheimer’s Disease and Aging Using Whole-Brain Network Dynamics Modelling is a dataset published in eNeuro (2021). On theSindex it has a DataRank of 1.3, placing it in the top 16.1% of the data-sharing corpus. It has been cited 44 times, with 41 citing works in its 1-hop citation network.
Ranks in the top 16% for downstream scientific impact
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
0.571
From this paper's citation signal
Citation Network Contribution
0.706
From 29 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 41 citers.
European Commission
Grant: H2020 ITN 859937
European Commission
Grant: Specific Grant Agreement No. 785907 (Human Brain Project SGA2)
European Commission
Grant: Innovation Action grants VirtualBrainCloud
NIA NIH HHS
Grant: U01 AG024904
Canadian Institutes of Health Research
Grant: unidentified
unidentified
European Commission
Grant: 785907
Human Brain Project Specific Grant Agreement 2
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
European Commission
Grant: 859937
Interdisciplinary connectivity: Understanding and managing complex systems using connectivity science
European Commission
Grant: 945539
Human Brain Project Specific Grant Agreement 3
CIHR
FWCI
3.30
Citation Percentile
0.9%
Influential Citations
2
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals