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Mendeley readers
Attention Score in Context
| Title |
A haptic-robotic platform for upper-limb reaching stroke therapy: Preliminary design and evaluation results
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, May 2008
|
| DOI | 10.1186/1743-0003-5-15 |
| Pubmed ID | |
| Authors |
Paul Lam, Debbie Hebert, Jennifer Boger, Hervé Lacheray, Don Gardner, Jacob Apkarian, Alex Mihailidis |
| Abstract |
It has been shown that intense training can significantly improve post-stroke upper-limb functionality. However, opportunities for stroke survivors to practice rehabilitation exercises can be limited because of the finite availability of therapists and equipment. This paper presents a haptic-enabled exercise platform intended to assist therapists and moderate-level stroke survivors perform upper-limb reaching motion therapy. This work extends on existing knowledge by presenting: 1) an anthropometrically-inspired design that maximizes elbow and shoulder range of motions during exercise; 2) an unobtrusive upper body postural sensing system; and 3) a vibratory elbow stimulation device to encourage muscle movement. |
Mendeley readers
The data shown below were compiled from readership statistics for 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| India | 1 | <1% |
| Italy | 1 | <1% |
| Singapore | 1 | <1% |
| Mexico | 1 | <1% |
| Unknown | 175 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 22% |
| Student > Master | 38 | 21% |
| Student > Bachelor | 18 | 10% |
| Researcher | 13 | 7% |
| Student > Doctoral Student | 12 | 7% |
| Other | 33 | 18% |
| Unknown | 28 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 73 | 40% |
| Medicine and Dentistry | 17 | 9% |
| Computer Science | 11 | 6% |
| Nursing and Health Professions | 10 | 6% |
| Psychology | 10 | 6% |
| Other | 29 | 16% |
| Unknown | 31 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 26 September 2012.
All research outputs
#20,169,675
of 22,681,577 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,136
of 1,277 outputs
Outputs of similar age
#79,037
of 82,227 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 1 outputs
Altmetric has tracked 22,681,577 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,277 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 1st percentile – i.e., 1% 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 82,227 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them