A Combined Region- and Pixel-Based Deep Learning Approach for Quantifying Abdominal Adipose Tissue in Adolescents Using Dixon Magnetic Resonance Imaging is a research paper published in Tomography (2023). On theSindex it has a DataRank of 0.317. It has been cited 5 times, with 5 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
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
0.0486
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Institutes of Health Intramural Research Program
Grant: Z99CL999999
National Institutes of Health Intramural Research Program
Grant: ZIAMH002933
National Institutes of Health Intramural Research Program
Grant: ZIAHD00641
Intramural NIH HHS
Grant: ZIA MH002717
National Institutes of Health
Grant: 1ZIAHD000641-17
Physiology, Psychology, and Genetics of Obesity
National Institutes of Health
Grant: 1ZIAMH002933-08
Endocrine and Neurobiologic Events Accompanying Puberty
National Institutes of Health
Grant: 1ZIAMH002717-28
Neuroimaging of Brain Circuits and Molecular Mechanisms in Normal Cognition
FWCI
0.89
Citation Percentile
0.7%
Influential Citations
2
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals