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A state-based, proportional myoelectric control method: online validation and comparison with the clinical state-of-the-art

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, July 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
105 Mendeley
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Title
A state-based, proportional myoelectric control method: online validation and comparison with the clinical state-of-the-art
Published in
Journal of NeuroEngineering and Rehabilitation, July 2014
DOI 10.1186/1743-0003-11-110
Pubmed ID
Authors

Ning Jiang, Thomas Lorrain, Dario Farina

Abstract

Current clinical myoelectric systems provide unnatural prosthesis control, with limited functionality. In this study, we propose a proportional state-based control method, which allows switching between functions in a more natural and intuitive way than the traditional co-contraction switch method.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
India 1 <1%
Iceland 1 <1%
Korea, Republic of 1 <1%
Unknown 100 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 30%
Student > Master 24 23%
Researcher 10 10%
Student > Doctoral Student 6 6%
Professor > Associate Professor 5 5%
Other 16 15%
Unknown 13 12%
Readers by discipline Count As %
Engineering 58 55%
Computer Science 10 10%
Medicine and Dentistry 6 6%
Nursing and Health Professions 2 2%
Neuroscience 2 2%
Other 8 8%
Unknown 19 18%
Attention Score in Context

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 10 July 2014.
All research outputs
#4,165,350
of 22,758,248 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#246
of 1,278 outputs
Outputs of similar age
#41,060
of 225,815 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#3
of 17 outputs
Altmetric has tracked 22,758,248 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 1,278 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 80% 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 225,815 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
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 has gotten more attention than average, scoring higher than 64% of its contemporaries.