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Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future

Overview of attention for article published in Frontiers in Neuroscience, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
5 X users

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
129 Mendeley
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Title
Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future
Published in
Frontiers in Neuroscience, April 2021
DOI 10.3389/fnins.2021.621885
Pubmed ID
Authors

Wei Li, Ping Shi, Hongliu Yu

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 129 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 129 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 9%
Student > Ph. D. Student 10 8%
Student > Bachelor 10 8%
Researcher 5 4%
Professor 5 4%
Other 16 12%
Unknown 71 55%
Readers by discipline Count As %
Engineering 26 20%
Computer Science 10 8%
Biochemistry, Genetics and Molecular Biology 2 2%
Neuroscience 2 2%
Medicine and Dentistry 2 2%
Other 8 6%
Unknown 79 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 May 2021.
All research outputs
#14,795,067
of 25,387,668 outputs
Outputs from Frontiers in Neuroscience
#6,031
of 11,543 outputs
Outputs of similar age
#212,938
of 453,287 outputs
Outputs of similar age from Frontiers in Neuroscience
#193
of 371 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,543 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 47th percentile – i.e., 47% 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 453,287 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 371 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.