Common Data Elements for COVID-19 Neuroimaging: A GCS-NeuroCOVID Proposal is a dataset published in Neurocritical Care (2021). On theSindex it has a DataRank of 0.719, placing it in the top 27.9% of the data-sharing corpus. It has been cited 15 times, with 13 citing works in its 1-hop citation network.
Ranks in the top 28% 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
0.416
From this paper's citation signal
Citation Network Contribution
0.303
From 8 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 13 citers.
NICHD NIH HHS
Grant: DP2 HD101400
Novo Nordisk Fonden
Grant: NNF21OC0067769
NINDS NIH HHS
Grant: R01 NS091618
NCATS NIH HHS
Grant: UL1 TR001857
NINDS NIH HHS
Grant: R21 NS113037
Lundbeck Foundation
Grant: R349-2020-658
National Institute for Health Research (NIHR)
Grant: ACF-2009-14-007
National Institute for Health Research (NIHR)
Grant: CL-2018-21-002
NINDS NIH HHS
Grant: R25NS06574309
Academy of Medical Sciences
Grant: AMS-CSF4-Newcombe
United Kingdom Research and Innovation
Addenbrooke’s Charitable Trust
James S. McDonnell Foundation
National Institute for Health Research (NIHR)
National Institute of Neurological Disorders and Stroke
Fields of Study
MeSH Terms