The Influence of Brain MRI Defacing Algorithms on Brain-Age Predictions via 3D Convolutional Neural Networks is a research paper published in PubMed (2023). On theSindex it has a DataRank of 0.368. It has been cited 5 times, with 4 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.
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Base Score Contribution
0.269
From this paper's citation signal
Citation Network Contribution
0.0995
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 4 citers.
National Institutes of Health
Grant: 5R01AG058854-04
ENIGMA World Aging Center
National Institutes of Health
Grant: 5R01AG059874-02
High resolution mapping of the genetic risk for disease in the aging brain
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
National Institute of Biomedical Imaging and Bioengineering
National Institutes of Health
National Institute on Aging
FWCI
0.57
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals