Associative white matter tracts selectively predict sensorimotor learning is a research paper published in Communications Biology (2024). On theSindex it has a DataRank of 0. It has been cited 2 times.
Scored on demand from live citation data
Linked data & code
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.
NIMH NIH HHS
Grant: R01 MH126699
Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada)
Grant: RGPIN-2021-02618
NSF | Directorate for Social, Behavioral & Economic Sciences | Division of Behavioral and Cognitive Sciences (Behavioral & Cognitive Sciences)
Grant: 1734853
NCS-FO: Connectome mapping algorithms with application to community services for big data neuroscience
NIBIB NIH HHS
Grant: R01 EB030896
NSF | Directorate for Social, Behavioral & Economic Sciences | SBE Office of Multidisciplinary Activities (SMA)
Grant: 2004877
Harnessing machine learning and cloud computing to test biological models of the role of white matter in human learning
NICHD NIH HHS
Grant: P50 HD103537
NIBIB NIH HHS
Grant: R01 EB029272
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
National Science Foundation
Grant: 1912270
Collaborative Proposal: CRCNS US-German Data Sharing Proposal: DataLad - a decentralized system for integrated discovery, management, and publication of digital objects of science
National Science Foundation
Grant: 1916518
BD Hubs: Collaborative Proposal: Midwest: Midwest Big Data Hub: Building Communities to Harness the Data Revolution
National Institutes of Health
Grant: 5R01EB029272-03
CRCNS: US-France Data Sharing Proposal: Lowering the barrier of entry to network neuroscience
Wellcome Trust
Grant: 226486
Developing an international governance framework to advance global brain and mental health data equity and innovation
National Institutes of Health
Grant: 5R01MH126699-02
A community-driven development of the brain imaging data standard (BIDS) to describe macroscopic brain connections
National Science Foundation
Grant: 1753171
CAREER: Calibrating Regularization for Enhanced Statistical Inference
National Institutes of Health
Grant: 5R01EB030896-02
CRCNS: US-France Data Sharing Proposal: Open science & cloud computing of MEEG
FWCI
0.52
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals