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Deep learning and session-specific rapid recalibration for dynamic hand gesture recognition from EMG

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, December 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Deep learning and session-specific rapid recalibration for dynamic hand gesture recognition from EMG
Published in
Frontiers in Bioengineering and Biotechnology, December 2022
DOI 10.3389/fbioe.2022.1034672
Pubmed ID
Authors

Maxim Karrenbach, Pornthep Preechayasomboon, Peter Sauer, David Boe, Eric Rombokas

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 12%
Student > Ph. D. Student 2 8%
Student > Master 2 8%
Lecturer 1 4%
Professor 1 4%
Other 1 4%
Unknown 15 60%
Readers by discipline Count As %
Engineering 4 16%
Business, Management and Accounting 2 8%
Nursing and Health Professions 1 4%
Psychology 1 4%
Design 1 4%
Other 0 0%
Unknown 16 64%
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 18 January 2023.
All research outputs
#15,407,822
of 26,313,853 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,889
of 8,704 outputs
Outputs of similar age
#204,803
of 496,022 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#54
of 538 outputs
Altmetric has tracked 26,313,853 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,704 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 77% of its peers.
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 496,022 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 57% of its contemporaries.
We're also able to compare this research output to 538 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.