VNC-Dist: A machine learning-based semi-automated pipeline for quantification of neuronal position in the C. elegans ventral nerve cord is a research paper published in PLoS ONE (2025). On theSindex it has a DataRank of 0.104. It has been cited 1 time.
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
0.104
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →Canadian Institutes of Health Research
Grant: 123513
Canadian Institutes of Health Research
Grant: 156160
Natural Sciences and Engineering Research Council of Canada
Grant: 2018-06790
Natural Sciences and Engineering Research Council of Canada
Grant: 2019-06604
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1P40OD010440-01
Caenorhabditis Genetics Center
NIH HHS
Grant: P40 OD010440
FWCI
0.46
Citation Percentile
0.6%
Citation Trend
Fields of Study
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