Diffusion MRI is superior to quantitative T2-FLAIR mismatch in predicting molecular subtypes of human non-enhancing gliomas is a research paper published in Neuroradiology (2024). On theSindex it has a DataRank of 0.269. It has been cited 5 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
0.269
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 Cancer Institute
Grant: F30CA284809
National Cancer Institute
Grant: R01CA270027
National Cancer Institute
Grant: R01CA279984
National Cancer Institute
Grant: P50CA211015
National Institutes of Health
Grant: T32GM008042
U.S. Department of Defense
Grant: CA220732
NCI NIH HHS
Grant: P30 CA016042
National Institutes of Health
Grant: 5T32GM008042-27
Medical Scientist Training Program
National Institutes of Health
Grant: 5R01CA270027-02
Role of decorin and diffusion MRI in anti-VEGF efficacy for recurrent glioblastoma
National Institutes of Health
Grant: 5F30CA284809-02
Molecular MR-PET to characterize malignant transformation and identify therapeutic vulnerabilities in human IDH-mutant gliomas
National Institutes of Health
Grant: 5R01CA279984-03
Quantitative molecular MR-PET imaging of glycolysis in glioblastoma
National Institutes of Health
Grant: 5P50CA211015-02
UCLA SPORE in Brain Cancer
FWCI
1.41
Citation Percentile
0.8%
Citation Trend
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