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A survey on robotic devices for upper limb rehabilitation

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, January 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
patent
1 patent
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
843 Dimensions

Readers on

mendeley
1131 Mendeley
citeulike
1 CiteULike
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Title
A survey on robotic devices for upper limb rehabilitation
Published in
Journal of NeuroEngineering and Rehabilitation, January 2014
DOI 10.1186/1743-0003-11-3
Pubmed ID
Authors

Paweł Maciejasz, Jörg Eschweiler, Kurt Gerlach-Hahn, Arne Jansen-Troy, Steffen Leonhardt

Abstract

The existing shortage of therapists and caregivers assisting physically disabled individuals at home is expected to increase and become serious problem in the near future. The patient population needing physical rehabilitation of the upper extremity is also constantly increasing. Robotic devices have the potential to address this problem as noted by the results of recent research studies. However, the availability of these devices in clinical settings is limited, leaving plenty of room for improvement. The purpose of this paper is to document a review of robotic devices for upper limb rehabilitation including those in developing phase in order to provide a comprehensive reference about existing solutions and facilitate the development of new and improved devices. In particular the following issues are discussed: application field, target group, type of assistance, mechanical design, control strategy and clinical evaluation. This paper also includes a comprehensive, tabulated comparison of technical solutions implemented in various systems.

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 1,131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 <1%
Canada 5 <1%
United Kingdom 4 <1%
Singapore 2 <1%
Italy 1 <1%
Hong Kong 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Netherlands 1 <1%
Other 5 <1%
Unknown 1104 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 240 21%
Student > Master 218 19%
Student > Bachelor 115 10%
Researcher 108 10%
Student > Doctoral Student 54 5%
Other 167 15%
Unknown 229 20%
Readers by discipline Count As %
Engineering 590 52%
Medicine and Dentistry 59 5%
Computer Science 49 4%
Nursing and Health Professions 37 3%
Neuroscience 33 3%
Other 91 8%
Unknown 272 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 17 September 2021.
All research outputs
#1,942,647
of 22,778,347 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#81
of 1,278 outputs
Outputs of similar age
#23,786
of 304,929 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#6
of 39 outputs
Altmetric has tracked 22,778,347 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 done particularly well, scoring higher than 93% 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 304,929 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.