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Rehabilitation of Motor Function after Stroke: A Multiple Systematic Review Focused on Techniques to Stimulate Upper Extremity Recovery

Overview of attention for article published in Frontiers in Human Neuroscience, September 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
2 blogs
policy
1 policy source
twitter
171 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
593 Dimensions

Readers on

mendeley
1940 Mendeley
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Title
Rehabilitation of Motor Function after Stroke: A Multiple Systematic Review Focused on Techniques to Stimulate Upper Extremity Recovery
Published in
Frontiers in Human Neuroscience, September 2016
DOI 10.3389/fnhum.2016.00442
Pubmed ID
Authors

Samar M. Hatem, Geoffroy Saussez, Margaux della Faille, Vincent Prist, Xue Zhang, Delphine Dispa, Yannick Bleyenheuft

Abstract

Stroke is one of the leading causes for disability worldwide. Motor function deficits due to stroke affect the patients' mobility, their limitation in daily life activities, their participation in society and their odds of returning to professional activities. All of these factors contribute to a low overall quality of life. Rehabilitation training is the most effective way to reduce motor impairments in stroke patients. This multiple systematic review focuses both on standard treatment methods and on innovating rehabilitation techniques used to promote upper extremity motor function in stroke patients. A total number of 5712 publications on stroke rehabilitation was systematically reviewed for relevance and quality with regards to upper extremity motor outcome. This procedure yielded 270 publications corresponding to the inclusion criteria of the systematic review. Recent technology-based interventions in stroke rehabilitation including non-invasive brain stimulation, robot-assisted training, and virtual reality immersion are addressed. Finally, a decisional tree based on evidence from the literature and characteristics of stroke patients is proposed. At present, the stroke rehabilitation field faces the challenge to tailor evidence-based treatment strategies to the needs of the individual stroke patient. Interventions can be combined in order to achieve the maximal motor function recovery for each patient. Though the efficacy of some interventions may be under debate, motor skill learning, and some new technological approaches give promising outcome prognosis in stroke motor rehabilitation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 171 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 1,940 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Hong Kong 1 <1%
Spain 1 <1%
India 1 <1%
Unknown 1933 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 311 16%
Student > Master 295 15%
Student > Ph. D. Student 206 11%
Researcher 136 7%
Student > Doctoral Student 103 5%
Other 304 16%
Unknown 585 30%
Readers by discipline Count As %
Nursing and Health Professions 317 16%
Medicine and Dentistry 261 13%
Neuroscience 220 11%
Engineering 209 11%
Agricultural and Biological Sciences 43 2%
Other 226 12%
Unknown 664 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 138. 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 16 January 2024.
All research outputs
#304,877
of 25,721,020 outputs
Outputs from Frontiers in Human Neuroscience
#139
of 7,751 outputs
Outputs of similar age
#5,761
of 332,005 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#5
of 152 outputs
Altmetric has tracked 25,721,020 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one has done particularly well, scoring higher than 98% 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 332,005 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 98% of its contemporaries.
We're also able to compare this research output to 152 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.