Automated body composition estimation from device-agnostic 3D optical scans in pediatric populations is a research paper published in Clinical Nutrition (2023). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
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Base Score Contribution
0.292
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 →NIDDK NIH HHS
Grant: P30 DK072476
NHLBI NIH HHS
Grant: T32 HL115505
NIDDK NIH HHS
Grant: P30 DK098722
NIDDK NIH HHS
Grant: R01 DK109008
NIDDK NIH HHS
Grant: R01 DK111698
NICHD NIH HHS
Grant: R01 HD082166
NIDDK NIH HHS
Grant: P30 DK040561
National Institutes of Health
Grant: 5R01HD082166-10
Multi-center Randomized Controlled Trial of Refeeding an Anorexia Nervosa
National Institutes of Health
Grant: 5R01DK109008-04
Optical Body Composition and Health Assessment
National Institutes of Health
Grant: 5R01DK111698-04
Shape up! Kids
National Institutes of Health
Grant: 5P30DK040561-23
Nutrition Obesity Research Center at Harvard
National Institutes of Health
Grant: 5P30DK072476-05
Core--Molecular Mechanisms
NIH
NIDDK
NICHD
FWCI
0.84
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals