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PCA and deep learning based myoelectric grasping control of a prosthetic hand

Overview of attention for article published in BioMedical Engineering OnLine, August 2018
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Mentioned by

twitter
1 X user

Readers on

mendeley
132 Mendeley
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Title
PCA and deep learning based myoelectric grasping control of a prosthetic hand
Published in
BioMedical Engineering OnLine, August 2018
DOI 10.1186/s12938-018-0539-8
Pubmed ID
Authors

Chuanjiang Li, Jian Ren, Huaiqi Huang, Bin Wang, Yanfei Zhu, Huosheng Hu

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 19%
Student > Bachelor 19 14%
Student > Master 16 12%
Researcher 9 7%
Student > Postgraduate 6 5%
Other 14 11%
Unknown 43 33%
Readers by discipline Count As %
Engineering 51 39%
Computer Science 9 7%
Medicine and Dentistry 8 6%
Unspecified 2 2%
Physics and Astronomy 2 2%
Other 11 8%
Unknown 49 37%
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 13 August 2018.
All research outputs
#18,646,262
of 23,099,576 outputs
Outputs from BioMedical Engineering OnLine
#565
of 825 outputs
Outputs of similar age
#254,336
of 330,726 outputs
Outputs of similar age from BioMedical Engineering OnLine
#11
of 17 outputs
Altmetric has tracked 23,099,576 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 825 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 16th percentile – i.e., 16% 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 330,726 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.