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3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement units

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, March 2024
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Title
3D gait analysis in children using wearable sensors: feasibility of predicting joint kinematics and kinetics with personalized machine learning models and inertial measurement units
Published in
Frontiers in Bioengineering and Biotechnology, March 2024
DOI 10.3389/fbioe.2024.1372669
Pubmed ID
Authors

Shima Mohammadi Moghadam, Pablo Ortega Auriol, Ted Yeung, Julie Choisne

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 March 2024.
All research outputs
#22,895,831
of 25,529,543 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#5,350
of 8,584 outputs
Outputs of similar age
#122,278
of 154,253 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#49
of 183 outputs
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So far Altmetric has tracked 8,584 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 183 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.