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Mendeley readers
Attention Score in Context
| Title |
Exploring the bases for a mixed reality stroke rehabilitation system, Part II: Design of Interactive Feedback for upper limb rehabilitation
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, September 2011
|
| DOI | 10.1186/1743-0003-8-54 |
| Pubmed ID | |
| Authors |
Nicole Lehrer, Yinpeng Chen, Margaret Duff, Steven L Wolf, Thanassis Rikakis |
| Abstract |
Few existing interactive rehabilitation systems can effectively communicate multiple aspects of movement performance simultaneously, in a manner that appropriately adapts across various training scenarios. In order to address the need for such systems within stroke rehabilitation training, a unified approach for designing interactive systems for upper limb rehabilitation of stroke survivors has been developed and applied for the implementation of an Adaptive Mixed Reality Rehabilitation (AMRR) System. |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| United States | 3 | 2% |
| Switzerland | 1 | <1% |
| Belgium | 1 | <1% |
| Portugal | 1 | <1% |
| Unknown | 127 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 27 | 20% |
| Student > Master | 21 | 15% |
| Student > Ph. D. Student | 17 | 13% |
| Student > Bachelor | 12 | 9% |
| Professor > Associate Professor | 10 | 7% |
| Other | 24 | 18% |
| Unknown | 25 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 14% |
| Nursing and Health Professions | 17 | 13% |
| Medicine and Dentistry | 16 | 12% |
| Computer Science | 16 | 12% |
| Neuroscience | 10 | 7% |
| Other | 25 | 18% |
| Unknown | 33 | 24% |
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 30 September 2011.
All research outputs
#22,759,452
of 25,373,627 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,264
of 1,413 outputs
Outputs of similar age
#125,538
of 136,350 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#4
of 6 outputs
Altmetric has tracked 25,373,627 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 1,413 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 136,350 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 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.