Multi-task deep autoencoder to predict Alzheimer’s disease progression using temporal DNA methylation data in peripheral blood is a research paper published in Computational and Structural Biotechnology Journal (2022). On theSindex it has a DataRank of 1.0. It has been cited 28 times, with 28 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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.505
From this paper's citation signal
Citation Network Contribution
0.529
From 19 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 28 citers.
National Institutes of Health
Grant: P30 AG010133
National Institutes of Health
Grant: P30 AG072976
National Institutes of Health
Grant: R01 AG019771
National Institutes of Health
Grant: R01 AG057739
National Institutes of Health
Grant: R01 AG068193
National Institutes of Health
Grant: R01 LM013463
National Institutes of Health
Grant: R01AG062577
National Institutes of Health
Grant: R01AG064786
National Institutes of Health
Grant: R01MH117122
National Institutes of Health
Grant: R01NS118819
National Institutes of Health
Grant: R33 NS106120
National Institutes of Health
Grant: T32 AG071444
National Institutes of Health
Grant: U01 AG068057
National Institutes of Health
Grant: U01 AG072177
National Institutes of Health
Grant: U19 AG024904
NIGMS
Grant: R35GM142701
National Institutes of Health
Grant: 2R01AG019771-06
Memory Circuitry in MCI and Early Alzheimers Disease
National Institutes of Health
Grant: 1U01AG068057-01
Ultrascale Machine Learning to Empower Discovery in Alzheimers Disease Biobanks
National Institutes of Health
Grant: 5R01LM013463-03
Informatics Algorithms for Genomic Analysis of Brain Imaging Data
National Institutes of Health
Grant: 5R01AG068193-03
Cognitive Aging, Alzheimers disease, and Cancer-related Cognitive Decline
National Institutes of Health
Grant: 5R01AG062577-05
Epigenetic roles of DNA adenine methylation in Alzheimer's Disease
National Institutes of Health
Grant: 3U19AG024904-18S3
Alzheimer's Disease Neuroimaging Initiative (ADNI4)
National Institutes of Health
Grant: 5P30AG072976-02
Indiana Alzheimer's Disease Research Center
National Institutes of Health
Grant: 1R01MH117122-01A1
Epigenetic roles of DNA adenine methylation in stress response
National Institutes of Health
Grant: 5U01AG072177-02
KBASE2: Korean Brain Aging Study, Longitudinal Endophenotypes and Systems Biology
National Institutes of Health
Grant: 5R33NS106120-03
Use of CRISPR/Cas9 to Treat Huntington Disease
National Institutes of Health
Grant: 5R01AG064786-05
Genome-wide mapping and integrative analysis of DNA 6mA methylome in human AD brain
National Institutes of Health
Grant: 5R35GM142701-05
Computational modeling of genetic variations by multi-omics integration todecipher personal genome
National Institutes of Health
Grant: 5T32AG071444-03
Training Grant on Alzheimer's Disease and ADRD at Indiana University
National Institutes of Health
Grant: 1R01NS118819-01A1
Regulation and function of human neural circular RNAs
National Institutes of Health
Grant: 5R01AG057739-04
Leveraging Neuroimaging Biomarkers to Understand the Role of Social Networks in Alzheimer's Disease
National Institutes of Health
Grant: 5P30AG010133-08
CORE-- EDUCATION AND INFORMATION TRANSFER
FWCI
1.88
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords