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Mendeley readers
Attention Score in Context
| Title |
Selective control of gait subtasks in robotic gait training: foot clearance support in stroke survivors with a powered exoskeleton
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, January 2013
|
| DOI | 10.1186/1743-0003-10-3 |
| Pubmed ID | |
| Authors |
Bram Koopman, Edwin HF van Asseldonk, Herman van der Kooij |
| Abstract |
Robot-aided gait training is an emerging clinical tool for gait rehabilitation of neurological patients. This paper deals with a novel method of offering gait assistance, using an impedance controlled exoskeleton (LOPES). The provided assistance is based on a recent finding that, in the control of walking, different modules can be discerned that are associated with different subtasks. In this study, a Virtual Model Controller (VMC) for supporting one of these subtasks, namely the foot clearance, is presented and evaluated. |
Mendeley readers
The data shown below were compiled from readership statistics for 248 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Colombia | 1 | <1% |
| Netherlands | 1 | <1% |
| Portugal | 1 | <1% |
| United Kingdom | 1 | <1% |
| Czechia | 1 | <1% |
| Spain | 1 | <1% |
| Canada | 1 | <1% |
| Unknown | 239 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 51 | 21% |
| Student > Ph. D. Student | 44 | 18% |
| Student > Bachelor | 30 | 12% |
| Researcher | 23 | 9% |
| Student > Doctoral Student | 14 | 6% |
| Other | 34 | 14% |
| Unknown | 52 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 83 | 33% |
| Medicine and Dentistry | 39 | 16% |
| Nursing and Health Professions | 25 | 10% |
| Neuroscience | 16 | 6% |
| Agricultural and Biological Sciences | 6 | 2% |
| Other | 17 | 7% |
| Unknown | 62 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 February 2013.
All research outputs
#4,652,724
of 22,696,971 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#285
of 1,277 outputs
Outputs of similar age
#51,292
of 279,305 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#13
of 45 outputs
Altmetric has tracked 22,696,971 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,277 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 77% 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 279,305 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 81% of its contemporaries.
We're also able to compare this research output to 45 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 71% of its contemporaries.