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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Systematic review of Kinect applications in elderly care and stroke rehabilitation
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, July 2014
|
| DOI | 10.1186/1743-0003-11-108 |
| Pubmed ID | |
| Authors |
David Webster, Ozkan Celik |
| Abstract |
In this paper we present a review of the most current avenues of research into Kinect-based elderly care and stroke rehabilitation systems to provide an overview of the state of the art, limitations, and issues of concern as well as suggestions for future work in this direction. The central purpose of this review was to collect all relevant study information into one place in order to support and guide current research as well as inform researchers planning to embark on similar studies or applications. The paper is structured into three main sections, each one presenting a review of the literature for a specific topic. Elderly Care section is comprised of two subsections: Fall detection and Fall risk reduction. Stroke Rehabilitation section contains studies grouped under Evaluation of Kinect's spatial accuracy, and Kinect-based rehabilitation methods. The third section, Serious and exercise games, contains studies that are indirectly related to the first two sections and present a complete system for elderly care or stroke rehabilitation in a Kinect-based game format. Each of the three main sections conclude with a discussion of limitations of Kinect in its respective applications. The paper concludes with overall remarks regarding use of Kinect in elderly care and stroke rehabilitation applications and suggestions for future work. A concise summary with significant findings and subject demographics (when applicable) of each study included in the review is also provided in table format. |
X Demographics
The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 26% |
| Australia | 1 | 5% |
| United Kingdom | 1 | 5% |
| United States | 1 | 5% |
| Venezuela, Bolivarian Republic of | 1 | 5% |
| Unknown | 10 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 16 | 84% |
| Practitioners (doctors, other healthcare professionals) | 2 | 11% |
| Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 627 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | <1% |
| United States | 3 | <1% |
| Mexico | 3 | <1% |
| France | 3 | <1% |
| Netherlands | 1 | <1% |
| Switzerland | 1 | <1% |
| Italy | 1 | <1% |
| Hong Kong | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 8 | 1% |
| Unknown | 602 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 116 | 19% |
| Student > Master | 97 | 15% |
| Student > Bachelor | 76 | 12% |
| Researcher | 74 | 12% |
| Student > Doctoral Student | 45 | 7% |
| Other | 103 | 16% |
| Unknown | 116 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 135 | 22% |
| Computer Science | 123 | 20% |
| Medicine and Dentistry | 60 | 10% |
| Nursing and Health Professions | 31 | 5% |
| Neuroscience | 25 | 4% |
| Other | 100 | 16% |
| Unknown | 153 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 09 July 2015.
All research outputs
#1,280,310
of 25,556,408 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#38
of 1,418 outputs
Outputs of similar age
#12,379
of 242,554 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#2
of 21 outputs
Altmetric has tracked 25,556,408 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,418 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done particularly well, scoring higher than 97% 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 242,554 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.