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An interactive game-based shoulder wheel system for rehabilitation

Overview of attention for article published in Patient preference and adherence, November 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
125 Mendeley
Title
An interactive game-based shoulder wheel system for rehabilitation
Published in
Patient preference and adherence, November 2012
DOI 10.2147/ppa.s37190
Pubmed ID
Authors

Chang, Li-Wei Chou, Chang, Hsiao-Yun Chang

Abstract

Increases in the aging population and in the number of accidents have resulted in more people suffering from physical impairments or disabilities. Rehabilitation therapy thus attracts greater attention as a means of helping patients recover and return to a normal life. With the extremely long and tedious nature of traditional rehabilitation, patients are reluctant to continue the entire process, thus the expected effects of the therapy cannot be obtained. Games are well known to help patients improve their concentration and shift their attention away from the discomfort of their injuries during rehabilitation. Thus, incorporating game technology into a rehabilitation program may be a promising approach.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 125 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
France 1 <1%
Taiwan 1 <1%
Mexico 1 <1%
Spain 1 <1%
Unknown 120 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 18%
Student > Ph. D. Student 17 14%
Student > Bachelor 15 12%
Researcher 11 9%
Student > Doctoral Student 5 4%
Other 22 18%
Unknown 32 26%
Readers by discipline Count As %
Psychology 17 14%
Medicine and Dentistry 15 12%
Nursing and Health Professions 15 12%
Computer Science 13 10%
Engineering 11 9%
Other 19 15%
Unknown 35 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 December 2012.
All research outputs
#1,622,689
of 4,507,211 outputs
Outputs from Patient preference and adherence
#111
of 422 outputs
Outputs of similar age
#83,178
of 281,460 outputs
Outputs of similar age from Patient preference and adherence
#4
of 22 outputs
Altmetric has tracked 4,507,211 research outputs across all sources so far. This one has received more attention than most of these and is in the 63rd percentile.
So far Altmetric has tracked 422 research outputs from this source. They receive a mean Attention Score of 2.3. This one has gotten more attention than average, scoring higher than 73% 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 281,460 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 70% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.