Multi-atlas segmentation and quantification of muscle, bone and subcutaneous adipose tissue in the lower leg using peripheral quantitative computed tomography is a research paper published in Frontiers in Physiology (2022). On theSindex it has a DataRank of 0. It has been cited 7 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?
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.
National Institute of General Medical Sciences
Grant: SC3GM113754 U54GM104941
Army Research Office
Grant: W911NF2010095
NIMHD NIH HHS
Grant: U54 MD015959
NIGMS NIH HHS
Grant: SC3 GM113754
National Institutes of Health
Grant: 4U54GM104941-04
Delaware - CTR
National Institutes of Health
Grant: 5SC3GM113754-08
Image Analysis and Machine Learning Methods for Biomarkers of Age-related and Metabolic Diseases
FWCI
0.43
Citation Percentile
0.5%
Citation Trend
Fields of Study
Keywords