Quantitative MRI identifies lesional and non-lesional abnormalities in MOGAD is a research paper published in Multiple Sclerosis and Related Disorders (2023). On theSindex it has a DataRank of 0.418. It has been cited 7 times, with 6 citing works in its 1-hop citation network.
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
0.312
From this paper's citation signal
Citation Network Contribution
0.106
From 4 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 6 citers.
NINDS NIH HHS
Grant: R03 NS121960
NIA NIH HHS
Grant: R01 AG054513
NIA NIH HHS
Grant: RF1 AG077658
NCATS NIH HHS
Grant: KL2 TR002346
NINDS NIH HHS
Grant: R25 NS090978
FWCI
1.21
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals