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Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, July 2009
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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1 X user
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1 patent

Readers on

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297 Mendeley
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1 CiteULike
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Title
Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study
Published in
Journal of NeuroEngineering and Rehabilitation, July 2009
DOI 10.1186/1743-0003-6-28
Pubmed ID
Authors

Sergei V Adamovich, Gerard G Fluet, Abraham Mathai, Qinyin Qiu, Jeffrey Lewis, Alma S Merians

Abstract

Current neuroscience has identified rehabilitation approaches with the potential to stimulate adaptive changes in the brains of persons with hemiparesis. These approaches include, intensive task-oriented training, bimanual activities and balancing proximal and distal upper extremity interventions to reduce competition between these segments for neural territory.

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 297 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Switzerland 1 <1%
Hong Kong 1 <1%
India 1 <1%
United Kingdom 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 290 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 50 17%
Student > Ph. D. Student 46 15%
Student > Bachelor 40 13%
Researcher 22 7%
Other 14 5%
Other 61 21%
Unknown 64 22%
Readers by discipline Count As %
Engineering 52 18%
Medicine and Dentistry 39 13%
Computer Science 27 9%
Nursing and Health Professions 23 8%
Neuroscience 20 7%
Other 65 22%
Unknown 71 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 February 2018.
All research outputs
#6,927,901
of 22,716,996 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#432
of 1,278 outputs
Outputs of similar age
#30,174
of 95,548 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 9 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
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 gotten more attention than average, scoring higher than 65% 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 95,548 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 67% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.