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Attention Score in Context
| Title |
Quantifying the quality of hand movement in stroke patients through three-dimensional curvature
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, October 2011
|
| DOI | 10.1186/1743-0003-8-62 |
| Pubmed ID | |
| Authors |
Rieko Osu, Kazuko Ota, Toshiyuki Fujiwara, Yohei Otaka, Mitsuo Kawato, Meigen Liu |
| Abstract |
To more accurately evaluate rehabilitation outcomes in stroke patients, movement irregularities should be quantified. Previous work in stroke patients has revealed a reduction in the trajectory smoothness and segmentation of continuous movements. Clinically, the Stroke Impairment Assessment Set (SIAS) evaluates the clumsiness of arm movements using an ordinal scale based on the examiner's observations. In this study, we focused on three-dimensional curvature of hand trajectory to quantify movement, and aimed to establish a novel measurement that is independent of movement duration. We compared the proposed measurement with the SIAS score and the jerk measure representing temporal smoothness. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 1% |
| United States | 2 | 1% |
| Japan | 2 | 1% |
| United Kingdom | 1 | <1% |
| Portugal | 1 | <1% |
| Malaysia | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 146 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 36 | 23% |
| Researcher | 25 | 16% |
| Student > Master | 24 | 15% |
| Student > Bachelor | 13 | 8% |
| Student > Doctoral Student | 9 | 6% |
| Other | 23 | 15% |
| Unknown | 26 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 24% |
| Medicine and Dentistry | 28 | 18% |
| Neuroscience | 19 | 12% |
| Nursing and Health Professions | 17 | 11% |
| Computer Science | 6 | 4% |
| Other | 14 | 9% |
| Unknown | 35 | 22% |
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 07 November 2011.
All research outputs
#17,285,036
of 25,373,627 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#935
of 1,413 outputs
Outputs of similar age
#106,350
of 153,514 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#6
of 7 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% 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 26th percentile – i.e., 26% 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 153,514 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.