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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Myoelectrically controlled wrist robot for stroke rehabilitation
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, June 2013
|
| DOI | 10.1186/1743-0003-10-52 |
| Pubmed ID | |
| Authors |
Rong Song, Kai-yu Tong, Xiaoling Hu, Wei Zhou |
| Abstract |
Robot-assisted rehabilitation is an advanced new technology in stroke rehabilitation to provide intensive training. Post-stroke motor recovery depends on active rehabilitation by voluntary participation of patient's paretic motor system as early as possible in order to promote reorganization of brain. However, voluntary residual motor efforts to the affected limb have not been involved enough in most robot-assisted rehabilitation for patients after stroke. The objective of this study is to evaluate the feasibility of robot-assisted rehabilitation using myoelectric control on upper limb motor recovery. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 288 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| United Kingdom | 2 | <1% |
| Malaysia | 1 | <1% |
| South Africa | 1 | <1% |
| Germany | 1 | <1% |
| India | 1 | <1% |
| China | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 278 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 51 | 18% |
| Researcher | 39 | 14% |
| Student > Ph. D. Student | 38 | 13% |
| Student > Bachelor | 36 | 13% |
| Student > Doctoral Student | 17 | 6% |
| Other | 40 | 14% |
| Unknown | 67 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 108 | 38% |
| Medicine and Dentistry | 30 | 10% |
| Nursing and Health Professions | 21 | 7% |
| Neuroscience | 14 | 5% |
| Psychology | 8 | 3% |
| Other | 30 | 10% |
| Unknown | 77 | 27% |
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 11 June 2013.
All research outputs
#14,754,186
of 22,711,645 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#779
of 1,278 outputs
Outputs of similar age
#117,388
of 197,423 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#8
of 25 outputs
Altmetric has tracked 22,711,645 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
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 is in the 35th percentile – i.e., 35% 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 197,423 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.