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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards more effective robotic gait training for stroke rehabilitation: a review
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, September 2012
|
| DOI | 10.1186/1743-0003-9-65 |
| Pubmed ID | |
| Authors |
Andrew Pennycott, Dario Wyss, Heike Vallery, Verena Klamroth-Marganska, Robert Riener |
| Abstract |
Stroke is the most common cause of disability in the developed world and can severely degrade walking function. Robot-driven gait therapy can provide assistance to patients during training and offers a number of advantages over other forms of therapy. These potential benefits do not, however, seem to have been fully realised as of yet in clinical practice. |
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% |
| Japan | 1 | 33% |
| Spain | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 3 | <1% |
| Colombia | 1 | <1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Czechia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Singapore | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 347 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 71 | 20% |
| Student > Ph. D. Student | 70 | 19% |
| Researcher | 41 | 11% |
| Student > Bachelor | 35 | 10% |
| Student > Doctoral Student | 27 | 8% |
| Other | 55 | 15% |
| Unknown | 61 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 142 | 39% |
| Medicine and Dentistry | 58 | 16% |
| Nursing and Health Professions | 31 | 9% |
| Neuroscience | 12 | 3% |
| Agricultural and Biological Sciences | 9 | 3% |
| Other | 30 | 8% |
| Unknown | 78 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 October 2016.
All research outputs
#15,738,224
of 25,368,786 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#778
of 1,413 outputs
Outputs of similar age
#113,097
of 187,109 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#9
of 18 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 42nd percentile – i.e., 42% 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 187,109 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.