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Processing Surface EMG Signals for Exoskeleton Motion Control

Overview of attention for article published in Frontiers in Neurorobotics, July 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

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27 Dimensions

Readers on

mendeley
106 Mendeley
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Title
Processing Surface EMG Signals for Exoskeleton Motion Control
Published in
Frontiers in Neurorobotics, July 2020
DOI 10.3389/fnbot.2020.00040
Pubmed ID
Authors

Gui Yin, Xiaodong Zhang, Dawei Chen, Hanzhe Li, Jiangcheng Chen, Chaoyang Chen, Stephen Lemos

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 106 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 12%
Student > Master 12 11%
Student > Ph. D. Student 10 9%
Student > Bachelor 7 7%
Other 5 5%
Other 12 11%
Unknown 47 44%
Readers by discipline Count As %
Engineering 26 25%
Medicine and Dentistry 7 7%
Sports and Recreations 4 4%
Biochemistry, Genetics and Molecular Biology 3 3%
Nursing and Health Professions 3 3%
Other 11 10%
Unknown 52 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 July 2020.
All research outputs
#14,959,154
of 23,223,705 outputs
Outputs from Frontiers in Neurorobotics
#388
of 896 outputs
Outputs of similar age
#232,232
of 396,831 outputs
Outputs of similar age from Frontiers in Neurorobotics
#14
of 20 outputs
Altmetric has tracked 23,223,705 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 896 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 54% 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 396,831 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.