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Multi-Day EMG-Based Knee Joint Torque Estimation Using Hybrid Neuromusculoskeletal Modelling and Convolutional Neural Networks

Overview of attention for article published in Frontiers in Robotics and AI, April 2022
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Mentioned by

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1 X user

Citations

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10 Dimensions

Readers on

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16 Mendeley
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Title
Multi-Day EMG-Based Knee Joint Torque Estimation Using Hybrid Neuromusculoskeletal Modelling and Convolutional Neural Networks
Published in
Frontiers in Robotics and AI, April 2022
DOI 10.3389/frobt.2022.869476
Pubmed ID
Authors

Robert V. Schulte, Marijke Zondag, Jaap H. Buurke, Erik C. Prinsen

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 19%
Lecturer > Senior Lecturer 1 6%
Student > Bachelor 1 6%
Lecturer 1 6%
Student > Ph. D. Student 1 6%
Other 1 6%
Unknown 8 50%
Readers by discipline Count As %
Engineering 7 44%
Medicine and Dentistry 1 6%
Computer Science 1 6%
Unknown 7 44%
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 25 April 2022.
All research outputs
#18,810,584
of 23,312,088 outputs
Outputs from Frontiers in Robotics and AI
#1,331
of 1,540 outputs
Outputs of similar age
#317,580
of 442,849 outputs
Outputs of similar age from Frontiers in Robotics and AI
#90
of 94 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 442,849 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 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.