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Deep Cross-User Models Reduce the Training Burden in Myoelectric Control

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

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Deep Cross-User Models Reduce the Training Burden in Myoelectric Control
Published in
Frontiers in Neuroscience, May 2021
DOI 10.3389/fnins.2021.657958
Pubmed ID
Authors

Evan Campbell, Angkoon Phinyomark, Erik Scheme

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 20%
Student > Bachelor 4 13%
Researcher 4 13%
Student > Ph. D. Student 4 13%
Lecturer 1 3%
Other 3 10%
Unknown 8 27%
Readers by discipline Count As %
Engineering 11 37%
Computer Science 6 20%
Neuroscience 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Unknown 9 30%
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 01 July 2021.
All research outputs
#8,592,862
of 25,515,042 outputs
Outputs from Frontiers in Neuroscience
#5,481
of 11,594 outputs
Outputs of similar age
#179,543
of 459,623 outputs
Outputs of similar age from Frontiers in Neuroscience
#155
of 373 outputs
Altmetric has tracked 25,515,042 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 51% 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 459,623 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 373 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.