Multi-task longitudinal forecasting with missing values on Alzheimer’s disease is a research paper published in Computer Methods and Programs in Biomedicine (2022). On theSindex it has a DataRank of 0.360. It has been cited 10 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
0.360
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 →Agencia Estatal de Investigación
Grant: TED2021-13182313-100
Agencia Estatal de Investigación
Grant: PID2021-123182OB-I00
Agencia Estatal de Investigación
Grant: RTI2018-099655-B-100
U.S. Department of Defense
Grant: W81XWH-12-2-0012
Horizon 2020
Grant: 666992
Data-driven models for Progression Of Neurological Disease
National Institutes of Health
Grant: U01 AG024904
Comunidad de Madrid
Grant: Y2018/TCS-4705
Comunidad de Madrid
Grant: IND2018/TIC-9649
Academy of Finland
Grant: 316258
Predictive brain image analysis
Academy of Finland
Grant: PID2020-115363RB-I00
Academy of Finland
Grant: INFRAIA-2016-1-730897
Academy of Finland
Grant: MCIN/AEI/10.13039/5011000110
European Commission
Grant: 730897
Transnational Access Programme for a Pan-European Network of HPC Research Infrastructures and Laboratories for scientific computing
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
FWCI
1.27
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals