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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Motor rehabilitation using virtual reality
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, December 2004
|
| DOI | 10.1186/1743-0003-1-10 |
| Pubmed ID | |
| Authors |
Heidi Sveistrup |
| Abstract |
Virtual Reality (VR) provides a unique medium suited to the achievement of several requirements for effective rehabilitation intervention. Specifically, therapy can be provided within a functional, purposeful and motivating context. Many VR applications present opportunities for individuals to participate in experiences, which are engaging and rewarding. In addition to the value of the rehabilitation experience for the user, both therapists and users benefit from the ability to readily grade and document the therapeutic intervention using various systems. In VR, advanced technologies are used to produce simulated, interactive and multi-dimensional environments. Visual interfaces including desktop monitors and head-mounted displays (HMDs), haptic interfaces, and real-time motion tracking devices are used to create environments allowing users to interact with images and virtual objects in real-time through multiple sensory modalities. Opportunities for object manipulation and body movement through virtual space provide frameworks that, in varying degrees, are perceived as comparable to similar opportunities in the real world. This paper reviews current work on motor rehabilitation using virtual environments and virtual reality and where possible, compares outcomes with those achieved in real-world applications. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 50% |
| Japan | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 953 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | <1% |
| Brazil | 4 | <1% |
| Switzerland | 3 | <1% |
| Netherlands | 3 | <1% |
| Germany | 3 | <1% |
| France | 3 | <1% |
| Italy | 3 | <1% |
| India | 2 | <1% |
| United States | 2 | <1% |
| Other | 17 | 2% |
| Unknown | 908 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 172 | 18% |
| Student > Ph. D. Student | 160 | 17% |
| Student > Bachelor | 136 | 14% |
| Researcher | 85 | 9% |
| Student > Doctoral Student | 46 | 5% |
| Other | 179 | 19% |
| Unknown | 175 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 205 | 22% |
| Computer Science | 136 | 14% |
| Medicine and Dentistry | 127 | 13% |
| Nursing and Health Professions | 53 | 6% |
| Neuroscience | 48 | 5% |
| Other | 180 | 19% |
| Unknown | 204 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 21 October 2020.
All research outputs
#1,871,657
of 25,373,627 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#67
of 1,413 outputs
Outputs of similar age
#4,191
of 149,825 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#1
of 7 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
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 has done particularly well, scoring higher than 95% 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 149,825 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 97% 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