| Title |
Assessment of personal care and medical robots from older adults’ perspective
|
|---|---|
| Published in |
Robotics and Biomimetics, September 2017
|
| DOI | 10.1186/s40638-017-0061-7 |
| Pubmed ID | |
| Authors |
K. M. Goher, N. Mansouri, S. O. Fadlallah |
| Abstract |
Demographic reports indicate that population of older adults is growing significantly over the world and in particular in developed nations. Consequently, there are a noticeable number of demands for certain services such as health-care systems and assistive medical robots and devices. In today's world, different types of robots play substantial roles specifically in medical sector to facilitate human life, especially older adults. Assistive medical robots and devices are created in various designs to fulfill specific needs of older adults. Though medical robots are utilized widely by senior citizens, it is dramatic to find out into what extent assistive robots satisfy their needs and expectations. This paper reviews various assessments of assistive medical robots from older adults' perspectives with the purpose of identifying senior citizen's needs, expectations, and preferences. On the other hand, these kinds of assessments inform robot designers, developers, and programmers to come up with robots fulfilling elderly's needs while improving their life quality. |
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 Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 18 | 19% |
| Student > Master | 14 | 15% |
| Student > Ph. D. Student | 10 | 11% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 4 | 4% |
| Other | 13 | 14% |
| Unknown | 27 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 18% |
| Computer Science | 12 | 13% |
| Nursing and Health Professions | 8 | 9% |
| Medicine and Dentistry | 7 | 7% |
| Social Sciences | 6 | 6% |
| Other | 13 | 14% |
| Unknown | 31 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 08 October 2018.
All research outputs
#4,364,166
of 23,905,714 outputs
Outputs from Robotics and Biomimetics
#2
of 38 outputs
Outputs of similar age
#74,610
of 320,821 outputs
Outputs of similar age from Robotics and Biomimetics
#1
of 7 outputs
Altmetric has tracked 23,905,714 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 38 research outputs from this source. They receive a mean Attention Score of 1.7. This one scored the same or higher as 36 of them.
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 320,821 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 76% of its contemporaries.
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. This one has scored higher than all of them