Mapping the impact of nonlinear gradient fields with noise on diffusion MRI is a research paper published in Magnetic Resonance Imaging (2023). On theSindex it has a DataRank of 0.241. It has been cited 4 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
0.241
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.
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Grant: UL1 RR024975–01
National Institutes of Health
Grant: R01EB017230
National Institutes of Health
Grant: T32EB001628
National Institutes of Health
Grant: T32GM007347
NCRR NIH HHS
Grant: UL1 RR024975
NIGMS NIH HHS
Grant: T32 GM152284
National Institutes of Health
Grant: 3UL1RR024975-03S4
The Vanderbilt Institute for Clinical and Translational Research (VICTR) UL1
National Institutes of Health
Grant: 5R01EB017230-07
Controlling Quality and Capturing Uncertainty in Advanced Diffusion Weighted MRI
National Institutes of Health
Grant: 5T32GM007347-08
MEDICAL SCIENTIST TRAINING PROGRAM
FWCI
0.62
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords