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A noise-suppressing neural network approach for upper limb human-machine interactive control based on sEMG signals

Overview of attention for article published in Frontiers in Neurorobotics, November 2022
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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10 Mendeley
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Title
A noise-suppressing neural network approach for upper limb human-machine interactive control based on sEMG signals
Published in
Frontiers in Neurorobotics, November 2022
DOI 10.3389/fnbot.2022.1047325
Pubmed ID
Authors

Bangcheng Zhang, Xuteng Lan, Gang Wang, Zaixiang Pang, Xiyu Zhang, Zhongbo Sun

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.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 10%
Lecturer 1 10%
Student > Bachelor 1 10%
Student > Master 1 10%
Unknown 6 60%
Readers by discipline Count As %
Engineering 2 20%
Social Sciences 1 10%
Computer Science 1 10%
Unknown 6 60%
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 16 November 2022.
All research outputs
#20,549,510
of 23,122,481 outputs
Outputs from Frontiers in Neurorobotics
#703
of 890 outputs
Outputs of similar age
#351,611
of 442,200 outputs
Outputs of similar age from Frontiers in Neurorobotics
#40
of 65 outputs
Altmetric has tracked 23,122,481 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 890 research outputs from this source. They receive a mean Attention Score of 4.1. 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 442,200 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 65 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.