Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association Patterns is a research paper published in Genes (2022). On theSindex it has a DataRank of 0.231. It has been cited 3 times, with 2 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.208
From this paper's citation signal
Citation Network Contribution
0.0227
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
National Institutes of Health
Grant: R01 LM013463
National Institutes of Health
Grant: U01 AG068057
National Institutes of Health
Grant: R01 AG071470
National Institutes of Health
Grant: R01 AG058854
National Institutes of Health
Grant: P30 AG010133
National Institutes of Health
Grant: IIS 1837964
NIA NIH HHS
Grant: U01 AG024904
National Institutes of Health
Grant: 5R01AG071470-02
Translational big data analytic approaches to advance drug repurposing for Alzheimer's disease
National Institutes of Health
Grant: 5R01AG058854-04
ENIGMA World Aging Center
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
National Institutes of Health
Grant: 5R01LM013463-03
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
National Institutes of Health
Grant: 1U01AG068057-01
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
National Institutes of Health
Grant: 5P30AG010133-08
CORE-- EDUCATION AND INFORMATION TRANSFER
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Science Foundation
Grant: 1837964
BIGDATA: IA: Collaborative Research: Asynchronous Distributed Machine Learning Framework for Multi-Site Collaborative Brain Big Data Mining
FWCI
0.24
Citation Percentile
0.5%
Citation Trend
Fields of Study
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