Predicting proprioceptive cortical anatomy and neural coding with topographic autoencoders is a research paper published in PLoS Computational Biology (2024). On theSindex it has a DataRank of 0.165. It has been cited 2 times.
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
0.165
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 →National Institute of Neurological Disorders and Stroke
Grant: F32MH120893
National Institute of Neurological Disorders and Stroke
Grant: S1R01
NIHR Imperial Biomedical Research Centre
Grant: 644000
Wellcome Trust
Grant: 222888/Z/21/Z
National Institute of Neurological Disorders and Stroke
Grant: R01NS095251
Engineering and Physical Sciences Research Council
Grant: EP/V025449/1
FWCI
0.47
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
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