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Predicting wrist kinematics from motor unit discharge timings for the control of active prostheses

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, April 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
50 Dimensions

Readers on

mendeley
82 Mendeley
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Title
Predicting wrist kinematics from motor unit discharge timings for the control of active prostheses
Published in
Journal of NeuroEngineering and Rehabilitation, April 2019
DOI 10.1186/s12984-019-0516-x
Pubmed ID
Authors

Tamás Kapelner, Ivan Vujaklija, Ning Jiang, Francesco Negro, Oskar C. Aszmann, Jose Principe, Dario Farina

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 82 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 17%
Student > Master 14 17%
Researcher 8 10%
Professor 6 7%
Student > Bachelor 6 7%
Other 16 20%
Unknown 18 22%
Readers by discipline Count As %
Engineering 47 57%
Neuroscience 4 5%
Computer Science 2 2%
Sports and Recreations 2 2%
Medicine and Dentistry 2 2%
Other 5 6%
Unknown 20 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 October 2019.
All research outputs
#3,159,933
of 16,084,632 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#215
of 978 outputs
Outputs of similar age
#77,824
of 272,404 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 1 outputs
Altmetric has tracked 16,084,632 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 978 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 77% 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 272,404 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 71% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them