Data assimilation on mechanistic models of glucose metabolism predicts glycemic states in adolescents following bariatric surgery is a research paper published in Frontiers in Physiology (2022). On theSindex it has a DataRank of 0. It has been cited 1 time.
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.
U.S. National Library of Medicine
Grant: R01 LM006910 R01 LM012734 T15 LM007079
NIDDK NIH HHS
Grant: T32 DK065522
NLM NIH HHS
Grant: T15 LM007079
NLM NIH HHS
Grant: R01 LM006910
National Institutes of Health
Grant: 5T15LM007079-29
Training in Biomedical Informatics at Columbia University
National Institutes of Health
Grant: 7R01LM012734-03
Mechanistic Machine Learning
National Institutes of Health
Grant: 2R01LM006910-14
Discovering and Applying Knowledge in Clinical Databases
FWCI
0.21
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals