Diffusion tensor brain imaging at 0.55T: A feasibility study is a dataset published in Magnetic Resonance in Medicine (2024). On theSindex it has a DataRank of 0.181, placing it in the top 66.2% of the data-sharing corpus. It has been cited 2 times, with 1 citing works in its 1-hop citation network.
Ranks in the top 66% for downstream scientific impact
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
0.0164
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
National Institutes of Health
Grant: R01‐MH116173
National Institutes of Health
Grant: R01‐NS074980
National Institutes of Health
Grant: R56‐ EB034349
National Science Foundation of Sri Lanka
Grant: CNS‐1828736
National Science Foundation
Grant: CNS-1828736
NIMH NIH HHS
Grant: R01 MH116173
NIBIB NIH HHS
Grant: R56 EB034349
NIH HHS
Grant: R01-NS074980
NIH HHS
Grant: R56- EB034349
NIH HHS
Grant: R01-MH116173
NINDS NIH HHS
Grant: R01 NS074980
Ming Hsieh Institute for Research on Engineering-Medicine for Cancer
USC Viterbi Graduate Fellowship
USC Provost's Strategic Directions for Research Award
FWCI
0.68
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals