How Gait Nonlinearities in Individuals Without Known Pathology Describe Metabolic Cost During Walking Using Artificial Neural Network and Multiple Linear Regression is a research paper published in Applied Sciences (2024). 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 Institutes of Health
Grant: P20GM109090
National Institutes of Health
Grant: R01HD090333
National Institutes of Health
Grant: R01AG077803
National Institutes of Health
Grant: R01AG062198
National Institutes of Health
Grant: 2203143
Collaborative Research: Detecting Gait Phases with Raised Metabolic Cost using Robotic Perturbations and System Identification for Enabling Targeted Rehabilitation Therapy
National Institutes of Health
Grant: 5R01AG077803-02
MitoQ treatment of claudication: myofiber and micro-vessel pathology
National Institutes of Health
Grant: 5R01AG062198-05
Effect of cell-based therapies on functional, hemodynamic, and histologic outcomes in a porcine model of peripheral arterial disease
National Institutes of Health
Grant: 5P20GM109090-08
Harnessing Movement Variability to Treat and Prevent Motor Related Disorders
National Institutes of Health
Grant: 5R01HD090333-02
Improving mobility in peripheral artery disease using an ankle foot orthosis
FWCI
2.11
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords