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Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, September 2010
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2 X users

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277 Dimensions

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Title
Neurorehabilitation using the virtual reality based Rehabilitation Gaming System: methodology, design, psychometrics, usability and validation
Published in
Journal of NeuroEngineering and Rehabilitation, September 2010
DOI 10.1186/1743-0003-7-48
Pubmed ID
Authors

Mónica S Cameirão, Sergi Bermúdez i Badia, Esther Duarte Oller, Paul FMJ Verschure

Abstract

Stroke is a frequent cause of adult disability that can lead to enduring impairments. However, given the life-long plasticity of the brain one could assume that recovery could be facilitated by the harnessing of mechanisms underlying neuronal reorganization. Currently it is not clear how this reorganization can be mobilized. Novel technology based neurorehabilitation techniques hold promise to address this issue. Here we describe a Virtual Reality (VR) based system, the Rehabilitation Gaming System (RGS) that is based on a number of hypotheses on the neuronal mechanisms underlying recovery, the structure of training and the role of individualization. We investigate the psychometrics of the RGS in stroke patients and healthy controls.

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

Geographical breakdown

Country Count As %
Spain 8 1%
United States 8 1%
United Kingdom 4 <1%
Italy 3 <1%
Brazil 3 <1%
Switzerland 3 <1%
France 2 <1%
Canada 2 <1%
Sweden 1 <1%
Other 11 2%
Unknown 606 93%

Demographic breakdown

Readers by professional status Count As %
Student > Master 122 19%
Student > Ph. D. Student 105 16%
Researcher 78 12%
Student > Bachelor 77 12%
Student > Doctoral Student 50 8%
Other 123 19%
Unknown 96 15%
Readers by discipline Count As %
Computer Science 108 17%
Engineering 105 16%
Medicine and Dentistry 86 13%
Psychology 61 9%
Neuroscience 55 8%
Other 114 18%
Unknown 122 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 December 2015.
All research outputs
#14,151,903
of 22,679,690 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#717
of 1,277 outputs
Outputs of similar age
#76,089
of 96,813 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 6 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,277 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 39th percentile – i.e., 39% 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 96,813 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.