A Multilevel Bayesian Approach to Improve Effect Size Estimation in Regression Modeling of Metabolomics Data Utilizing Imputation with Uncertainty is a research paper published in Metabolites (2020). On theSindex it has a DataRank of 0.406. It has been cited 14 times.
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Base Score Contribution
0.406
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 Institute of General Medical Sciences
Grant: R01GM103799
National Institute of General Medical Sciences
Grant: K23GM113041
National Institute of General Medical Sciences
Grant: R01GM111400
National Heart, Lung, and Blood Institute
Grant: 1-R21-HL-139156-01
NIH Center for Accelerated Innovations at Cleveland Clinic
Grant: NCAI-17-7-APP-UMICH-Fan
Michigan Translation and Commercialization (MTRAC) for Life Sciences Hub
Grant: NA
Michigan Institute for Data Science
Grant: Propelling Original Data Science
National Institutes of Health
Grant: 3R01GM103799-04S1
L-carnitine Treatment for Vasopressor Dependent Septic Shock
National Institutes of Health
Grant: 1R01GM111400-01A1
L-Carnitine Pharmacometabolomics in Sepsis (CaPS)
National Institutes of Health
Grant: 1K23GM113041-01
Platelet activation in septic shock
National Institutes of Health
Grant: 1R21HL139156-01
Rapid breath analysis for acute respiratory distress syndrome diagnostics
FWCI
0.67
Citation Percentile
0.7%
Citation Trend
Fields of Study
Keywords