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Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition

Overview of attention for article published in Frontiers in Bioengineering and Biotechnology, February 2020
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Mentioned by

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1 X user

Citations

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42 Dimensions

Readers on

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37 Mendeley
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Title
Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition
Published in
Frontiers in Bioengineering and Biotechnology, February 2020
DOI 10.3389/fbioe.2020.00058
Pubmed ID
Authors

Jiayuan He, Ning Jiang

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.
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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 16%
Researcher 4 11%
Professor > Associate Professor 2 5%
Student > Bachelor 2 5%
Other 1 3%
Other 2 5%
Unknown 20 54%
Readers by discipline Count As %
Computer Science 9 24%
Engineering 5 14%
Agricultural and Biological Sciences 2 5%
Business, Management and Accounting 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 18 49%
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 15 February 2020.
All research outputs
#20,604,769
of 23,192,960 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#4,706
of 6,878 outputs
Outputs of similar age
#382,909
of 457,412 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#242
of 280 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,878 research outputs from this source. They receive a mean Attention Score of 3.4. 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 457,412 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 280 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.