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Mendeley readers
Attention Score in Context
| Title |
Assessment-driven selection and adaptation of exercise difficulty in robot-assisted therapy: a pilot study with a hand rehabilitation robot
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, November 2014
|
| DOI | 10.1186/1743-0003-11-154 |
| Pubmed ID | |
| Authors |
Jean-Claude Metzger, Olivier Lambercy, Antonella Califfi, Daria Dinacci, Claudio Petrillo, Paolo Rossi, Fabio M Conti, Roger Gassert |
| Abstract |
Selecting and maintaining an engaging and challenging training difficulty level in robot-assisted stroke rehabilitation remains an open challenge. Despite the ability of robotic systems to provide objective and accurate measures of function and performance, the selection and adaptation of exercise difficulty levels is typically left to the experience of the supervising therapist. |
Mendeley readers
The data shown below were compiled from readership statistics for 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| United States | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 236 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 39 | 16% |
| Student > Ph. D. Student | 35 | 15% |
| Student > Bachelor | 27 | 11% |
| Researcher | 21 | 9% |
| Unspecified | 11 | 5% |
| Other | 44 | 18% |
| Unknown | 63 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 52 | 22% |
| Nursing and Health Professions | 29 | 12% |
| Medicine and Dentistry | 19 | 8% |
| Neuroscience | 18 | 8% |
| Unspecified | 11 | 5% |
| Other | 43 | 18% |
| Unknown | 68 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 15 August 2019.
All research outputs
#2,934,773
of 22,770,070 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#155
of 1,278 outputs
Outputs of similar age
#35,615
of 256,836 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#2
of 11 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% 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 well, scoring higher than 87% 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 256,836 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.