An autoencoder-based deep learning method for genotype imputation is a research paper published in Frontiers in Artificial Intelligence (2022). On theSindex it has a DataRank of 0.827. It has been cited 21 times, with 16 citing works in its 1-hop citation network.
Scored on demand from live citation data
Linked data & code
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?
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Base Score Contribution
0.464
From this paper's citation signal
Citation Network Contribution
0.364
From 8 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 16 citers.
NIA NIH HHS
Grant: R01 AG061917
NIAMS NIH HHS
Grant: R01 AR069055
NIGMS NIH HHS
Grant: P20 GM109036
NIA NIH HHS
Grant: U19 AG055373
National Institutes of Health
Grant: 2R01AR027065-11
EPIDEMIOLOGY OF AGE-RELATED BONE LOSS AND FRACTURES
National Institutes of Health
Grant: 5P20GM109036-05
Tulane COBRE for Clinical and Translational Research in Cardiometabolic Diseases
National Institutes of Health
Grant: 3M01RR000585-32S1A1
GCRC Mass Spectrometry Core Facility Supplement
National Institutes of Health
Grant: 5U19AG055373-04
Trans-omics integration of multi-omics studies for male osteoporosis
National Institutes of Health
Grant: 1R01AR069055-01A1
Decoding Methylation Mediated Epigenomic Contributions to Male Osteoporosis
National Institutes of Health
Grant: 5R01AG061917-02
Identification of Metabolomic Profiles for Sarcopenia Traits in Older Whites and Blacks
FWCI
3.42
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals