Integrating brain imaging endophenotypes with GWAS for Alzheimer’s disease is a research paper published in Quantitative Biology (2020). On theSindex it has a DataRank of 0.416. It has been cited 15 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?
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Base Score Contribution
0.416
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 Institutes of Health
Grant: T32GM108557
National Institutes of Health
Grant: R01AG065636
National Institutes of Health
Grant: R01HL116720
National Institutes of Health
Grant: R01GM113250
National Institutes of Health
Grant: R01GM126002
NIA NIH HHS
Grant: R21 AG057038
National Institutes of Health
Grant: 5R01GM126002-04
Estimation and Inference of Gene Regulatory Networks
National Institutes of Health
Grant: 5T32GM108557-03
Biostatistics in Genetics and Genomics Training Program
National Institutes of Health
Grant: 5R01HL116720-05
Association analysis of rare variants with sequencing data
National Institutes of Health
Grant: 5R01AG065636-02
Discovering causal genes, brain regions and other risk factors for Alzheimer'a disease
National Institutes of Health
Grant: 9R01GM113250-11A1
Statistical Methods for Genomic Data
FWCI
1.30
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals