Quantitative Brain Morphometry of Portable Low-Field-Strength MRI Using Super-Resolution Machine Learning is a research paper published in Radiology (2022). On theSindex it has a DataRank of 0.697. It has been cited 103 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
0.697
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 Institutes of Health
Grant: U01NS106513
National Institutes of Health
Grant: R01 NS099209
National Institutes of Health
Grant: R21 NS120002
National Institutes of Health
Grant: U24NS107215
NCATS NIH HHS
Grant: UL1 TR001863
NINR NIH HHS
Grant: R01 NR018335
NINDS NIH HHS
Grant: U24 NS107136
American Heart Association
Grant: 18TPA34170180
American Heart Association
Grant: 20SRG35540018
European Research Council
Grant: 677697
National Institutes of Health
Grant: 1R01AG070988
Alzheimer’s Research UK
Grant: ARUK-IRG2019A-003
NIBIB NIH HHS
Grant: R01 EB031114
NIMH NIH HHS
Grant: RF1 MH123195
American Heart Association
Grant: Collaborative Science Award 17CSA3355004
American Heart Association
Grant: 17CSA33550004
NIA NIH HHS
Grant: R01 AG070988
MeSH Terms