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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Home-based Computer Assisted Arm Rehabilitation (hCAAR) robotic device for upper limb exercise after stroke: results of a feasibility study in home setting
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, December 2014
|
| DOI | 10.1186/1743-0003-11-163 |
| Pubmed ID | |
| Authors |
Manoj Sivan, Justin Gallagher, Sophie Makower, David Keeling, Bipin Bhakta, Rory J O’Connor, Martin Levesley |
| Abstract |
Home-based robotic technologies may offer the possibility of self-directed upper limb exercise after stroke as a means of increasing the intensity of rehabilitation treatment. The current literature has a paucity of robotic devices that have been tested in a home environment. The aim of this research project was to evaluate a robotic device Home-based Computer Assisted Arm Rehabilitation (hCAAR) that can be used independently at home by stroke survivors with upper limb weakness. |
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 Kingdom | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 290 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hong Kong | 1 | <1% |
| India | 1 | <1% |
| Unknown | 288 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 48 | 17% |
| Student > Ph. D. Student | 47 | 16% |
| Student > Bachelor | 43 | 15% |
| Researcher | 25 | 9% |
| Student > Doctoral Student | 18 | 6% |
| Other | 39 | 13% |
| Unknown | 70 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 66 | 23% |
| Nursing and Health Professions | 47 | 16% |
| Medicine and Dentistry | 25 | 9% |
| Neuroscience | 18 | 6% |
| Computer Science | 13 | 4% |
| Other | 40 | 14% |
| Unknown | 81 | 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 08 April 2019.
All research outputs
#13,077,178
of 22,789,566 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#603
of 1,278 outputs
Outputs of similar age
#169,432
of 356,613 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#20
of 31 outputs
Altmetric has tracked 22,789,566 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% 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 has gotten more attention than average, scoring higher than 51% 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 356,613 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 51% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.