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Control of thumb force using surface functional electrical stimulation and muscle load sharing

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, October 2013
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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2 X users

Citations

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11 Dimensions

Readers on

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60 Mendeley
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Title
Control of thumb force using surface functional electrical stimulation and muscle load sharing
Published in
Journal of NeuroEngineering and Rehabilitation, October 2013
DOI 10.1186/1743-0003-10-104
Pubmed ID
Authors

Ard J Westerveld, Alfred C Schouten, Peter H Veltink, Herman van der Kooij

Abstract

Stroke survivors often have difficulties in manipulating objects with their affected hand. Thumb control plays an important role in object manipulation. Surface functional electrical stimulation (FES) can assist movement. We aim to control the 2D thumb force by predicting the sum of individual muscle forces, described by a sigmoidal muscle recruitment curve and a single force direction.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 2 3%
United Kingdom 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 17%
Student > Ph. D. Student 9 15%
Researcher 8 13%
Student > Bachelor 7 12%
Student > Postgraduate 5 8%
Other 9 15%
Unknown 12 20%
Readers by discipline Count As %
Engineering 14 23%
Nursing and Health Professions 6 10%
Medicine and Dentistry 6 10%
Neuroscience 5 8%
Biochemistry, Genetics and Molecular Biology 3 5%
Other 12 20%
Unknown 14 23%
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 09 October 2013.
All research outputs
#18,349,805
of 22,725,280 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#983
of 1,278 outputs
Outputs of similar age
#156,235
of 209,651 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#2
of 5 outputs
Altmetric has tracked 22,725,280 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 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 is in the 11th percentile – i.e., 11% 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 209,651 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.