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Towards more effective robotic gait training for stroke rehabilitation: a review

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, September 2012
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  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

twitter
3 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
164 Dimensions

Readers on

mendeley
338 Mendeley
citeulike
2 CiteULike
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Title
Towards more effective robotic gait training for stroke rehabilitation: a review
Published in
Journal of NeuroEngineering and Rehabilitation, September 2012
DOI 10.1186/1743-0003-9-65
Pubmed ID
Authors

Andrew Pennycott, Dario Wyss, Heike Vallery, Verena Klamroth-Marganska, Robert Riener

Abstract

Stroke is the most common cause of disability in the developed world and can severely degrade walking function. Robot-driven gait therapy can provide assistance to patients during training and offers a number of advantages over other forms of therapy. These potential benefits do not, however, seem to have been fully realised as of yet in clinical practice.

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

Geographical breakdown

Country Count As %
Switzerland 3 <1%
Colombia 1 <1%
Germany 1 <1%
Brazil 1 <1%
South Africa 1 <1%
Czechia 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Singapore 1 <1%
Other 2 <1%
Unknown 325 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 69 20%
Student > Master 67 20%
Researcher 41 12%
Student > Bachelor 34 10%
Student > Doctoral Student 27 8%
Other 56 17%
Unknown 44 13%
Readers by discipline Count As %
Engineering 139 41%
Medicine and Dentistry 58 17%
Nursing and Health Professions 30 9%
Neuroscience 12 4%
Agricultural and Biological Sciences 9 3%
Other 28 8%
Unknown 62 18%

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 07 October 2016.
All research outputs
#13,066,165
of 21,338,376 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#653
of 1,228 outputs
Outputs of similar age
#84,052
of 148,394 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#3
of 6 outputs
Altmetric has tracked 21,338,376 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,228 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 44th percentile – i.e., 44% 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 148,394 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% 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 3 of them.