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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A review of wearable sensors and systems with application in rehabilitation
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, April 2012
|
| DOI | 10.1186/1743-0003-9-21 |
| Pubmed ID | |
| Authors |
Shyamal Patel, Hyung Park, Paolo Bonato, Leighton Chan, Mary Rodgers |
| Abstract |
The aim of this review paper is to summarize recent developments in the field of wearable sensors and systems that are relevant to the field of rehabilitation. The growing body of work focused on the application of wearable technology to monitor older adults and subjects with chronic conditions in the home and community settings justifies the emphasis of this review paper on summarizing clinical applications of wearable technology currently undergoing assessment rather than describing the development of new wearable sensors and systems. A short description of key enabling technologies (i.e. sensor technology, communication technology, and data analysis techniques) that have allowed researchers to implement wearable systems is followed by a detailed description of major areas of application of wearable technology. Applications described in this review paper include those that focus on health and wellness, safety, home rehabilitation, assessment of treatment efficacy, and early detection of disorders. The integration of wearable and ambient sensors is discussed in the context of achieving home monitoring of older adults and subjects with chronic conditions. Future work required to advance the field toward clinical deployment of wearable sensors and systems is discussed. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 2 | 40% |
| India | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,762 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 28 | 1% |
| United Kingdom | 14 | <1% |
| Germany | 11 | <1% |
| Spain | 8 | <1% |
| Italy | 8 | <1% |
| India | 5 | <1% |
| France | 4 | <1% |
| Malaysia | 4 | <1% |
| Portugal | 4 | <1% |
| Other | 43 | 2% |
| Unknown | 2633 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 628 | 23% |
| Student > Master | 502 | 18% |
| Researcher | 347 | 13% |
| Student > Bachelor | 250 | 9% |
| Student > Doctoral Student | 146 | 5% |
| Other | 452 | 16% |
| Unknown | 437 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 931 | 34% |
| Computer Science | 403 | 15% |
| Medicine and Dentistry | 171 | 6% |
| Materials Science | 100 | 4% |
| Nursing and Health Professions | 78 | 3% |
| Other | 528 | 19% |
| Unknown | 551 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 25. 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 25 October 2022.
All research outputs
#1,342,313
of 23,575,882 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#46
of 1,314 outputs
Outputs of similar age
#7,493
of 163,220 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 6 outputs
Altmetric has tracked 23,575,882 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 1,314 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 96% 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 163,220 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 95% of its contemporaries.
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 all of them