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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Leg surface electromyography patterns in children with neuro-orthopedic disorders walking on a treadmill unassisted and assisted by a robot with and without encouragement
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, July 2013
|
| DOI | 10.1186/1743-0003-10-78 |
| Pubmed ID | |
| Authors |
Tabea Aurich Schuler, Roland Müller, Hubertus JA van Hedel |
| Abstract |
Robot-assisted gait training and treadmill training can complement conventional physical therapy in children with neuro-orthopedic movement disorders. The aim of this study was to investigate surface electromyography (sEMG) activity patterns during robot-assisted gait training (with and without motivating instructions from a therapist) and unassisted treadmill walking and to compare these with physiological sEMG patterns. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Czechia | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 114 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 39 | 33% |
| Student > Bachelor | 12 | 10% |
| Student > Ph. D. Student | 11 | 9% |
| Researcher | 9 | 8% |
| Student > Doctoral Student | 7 | 6% |
| Other | 13 | 11% |
| Unknown | 27 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 31% |
| Engineering | 15 | 13% |
| Nursing and Health Professions | 12 | 10% |
| Neuroscience | 7 | 6% |
| Computer Science | 4 | 3% |
| Other | 14 | 12% |
| Unknown | 30 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 22 July 2013.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#983
of 1,278 outputs
Outputs of similar age
#147,085
of 196,607 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#14
of 26 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,278 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 11th percentile – i.e., 11% 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 196,607 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.