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A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation

Overview of attention for article published in Journal of Medical Systems, November 2016
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Title
A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation
Published in
Journal of Medical Systems, November 2016
DOI 10.1007/s10916-016-0656-5
Pubmed ID
Authors

Paula Alexandra Rego, Rui Rocha, Brígida Mónica Faria, Luís Paulo Reis, Pedro Miguel Moreira

Abstract

In recent years Serious Games have evolved substantially, solving problems in diverse areas. In particular, in Cognitive Rehabilitation, Serious Games assume a relevant role. Traditional cognitive therapies are often considered repetitive and discouraging for patients and Serious Games can be used to create more dynamic rehabilitation processes, holding patients' attention throughout the process and motivating them during their road to recovery. This paper reviews Serious Games and user interfaces in rehabilitation area and details a Serious Games platform for Cognitive Rehabilitation that includes a set of features such as: natural and multimodal user interfaces and social features (competition, collaboration, and handicapping) which can contribute to augment the motivation of patients during the rehabilitation process. The web platform was tested with healthy subjects. Results of this preliminary evaluation show the motivation and the interest of the participants by playing the games.

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

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 14%
Student > Bachelor 18 14%
Student > Ph. D. Student 12 9%
Student > Doctoral Student 11 9%
Researcher 9 7%
Other 18 14%
Unknown 42 33%
Readers by discipline Count As %
Computer Science 26 20%
Engineering 12 9%
Psychology 11 9%
Medicine and Dentistry 6 5%
Design 4 3%
Other 20 16%
Unknown 49 38%
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 14 June 2017.
All research outputs
#15,465,171
of 22,981,247 outputs
Outputs from Journal of Medical Systems
#668
of 1,158 outputs
Outputs of similar age
#250,106
of 416,482 outputs
Outputs of similar age from Journal of Medical Systems
#12
of 19 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,158 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 33rd percentile – i.e., 33% 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 416,482 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.