| Title |
Cell phone based balance trainer
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, February 2012
|
| DOI | 10.1186/1743-0003-9-10 |
| Pubmed ID | |
| Authors |
Beom-Chan Lee, Jeonghee Kim, Shu Chen, Kathleen H Sienko |
| Abstract |
In their current laboratory-based form, existing vibrotactile sensory augmentation technologies that provide cues of body motion are impractical for home-based rehabilitation use due to their size, weight, complexity, calibration procedures, cost, and fragility. |
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% |
| Italy | 1 | 33% |
| 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 4 | 2% |
| Canada | 2 | 1% |
| United States | 2 | 1% |
| Netherlands | 1 | <1% |
| United Kingdom | 1 | <1% |
| Switzerland | 1 | <1% |
| Japan | 1 | <1% |
| Sweden | 1 | <1% |
| Unknown | 162 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 34 | 19% |
| Student > Master | 29 | 17% |
| Researcher | 24 | 14% |
| Student > Bachelor | 17 | 10% |
| Student > Doctoral Student | 16 | 9% |
| Other | 30 | 17% |
| Unknown | 25 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 40 | 23% |
| Engineering | 37 | 21% |
| Nursing and Health Professions | 13 | 7% |
| Computer Science | 13 | 7% |
| Sports and Recreations | 9 | 5% |
| Other | 32 | 18% |
| Unknown | 31 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 13 April 2017.
All research outputs
#5,467,662
of 22,663,150 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#311
of 1,277 outputs
Outputs of similar age
#49,540
of 247,686 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#2
of 18 outputs
Altmetric has tracked 22,663,150 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has done well, scoring higher than 75% 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 247,686 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 79% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.