Fast deep neural correspondence for tracking and identifying neurons in C. elegans using semi-synthetic training is a research paper published in eLife (2021). On theSindex it has a DataRank of 1.5. It has been cited 46 times, with 42 citing works in its 1-hop citation network.
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
0.578
From this paper's citation signal
Citation Network Contribution
0.933
From 30 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 42 citers.
Simons Foundation
Grant: 543003
Simons Foundation
Grant: 697092
National Science Foundation
Grant: IOS-184537
National Science Foundation
Grant: PHY-1734030
National Institutes of Health
Grant: R21NS101629
National Institutes of Health
Grant: 1R01NS113119
National Institutes of Health
Grant: P40 OD010440
Swartz Foundation
Grant: Swartz Fellowship for Theoretical Neuroscience
National Science Foundation
Grant: 1845137
CAREER: Neural mechanisms of flexible sensorimotor processing in C. elegans
National Science Foundation
Grant: 1734030
PFC: Center for the Physics of Biological Function
National Institutes of Health
Grant: 1P40OD010440-01
Caenorhabditis Genetics Center
National Institutes of Health
Grant: 1R01NS113119-01
Neural representation of mating partners by male C. elegans
National Institutes of Health
Grant: 5R21NS101629-02
Multicolor labeling for cell identification in the C. Elegans Nervous system
NEI NIH HHS
Grant: P30 EY026877
NINDS NIH HHS
Grant: R01 NS113119
FWCI
2.85
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals