The Neurodata Without Borders ecosystem for neurophysiological data science is a dataset published in eLife (2022). On theSindex it has a DataRank of 3.7, placing it in the top 6% of the data-sharing corpus. It has been cited 163 times, with 100 citing works in its 1-hop citation network.
Ranks in the top 6% 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
0.765
From this paper's citation signal
Citation Network Contribution
2.9
From 84 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
National Institute of Mental Health
Grant: R24MH116922
Simmons Family Foundation
Grant: 521921
National Institute of Mental Health
Grant: 1R24MH117295-01A1
DANDI: Distributed Archives for Neurophysiology Data Integration
National Institute of Neurological Disorders and Stroke
Grant: U19-NS104590
NIMH NIH HHS
Grant: RF1 MH120034
NIMH NIH HHS
Grant: R24 MH117295
NINDS NIH HHS
Grant: U19 NS104590
NINDS NIH HHS
Grant: U24 NS120057
National Institutes of Health
Grant: 5U19NS104590-02
Towards a Complete Description of the Circuitry Underlying Sharp Wave-Mediated Memory Replay
National Institutes of Health
Grant: 1R24MH116922-01
NWB:N: A Data Standard and Software Ecosystem for Neurophysiology
Kavli Foundation
Howard Hughes Medical Institute
Weill Neurohub
Howard Hughes Medical Institute
FWCI
28.91
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals