Title |
An observational report of intensive robotic and manual gait training in sub-acute stroke
|
---|---|
Published in |
Journal of NeuroEngineering and Rehabilitation, February 2012
|
DOI | 10.1186/1743-0003-9-13 |
Pubmed ID | |
Authors |
Lucas Conesa, Úrsula Costa, Eva Morales, Dylan J Edwards, Mar Cortes, Daniel León, Montserrat Bernabeu, Josep Medina |
Abstract |
The use of automated electromechanical devices for gait training in neurological patients is increasing, yet the functional outcomes of well-defined training programs using these devices and the characteristics of patients that would most benefit are seldom reported in the literature. In an observational study of functional outcomes, we aimed to provide a benchmark for expected change in gait function in early stroke patients, from an intensive inpatient rehabilitation program including both robotic and manual gait training. |
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 % |
---|---|---|
Spain | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
United Kingdom | 1 | <1% |
Czechia | 1 | <1% |
Unknown | 139 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 29 | 20% |
Student > Bachelor | 19 | 13% |
Researcher | 15 | 10% |
Professor > Associate Professor | 12 | 8% |
Student > Doctoral Student | 10 | 7% |
Other | 30 | 21% |
Unknown | 29 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 35 | 24% |
Nursing and Health Professions | 23 | 16% |
Neuroscience | 14 | 10% |
Engineering | 14 | 10% |
Agricultural and Biological Sciences | 9 | 6% |
Other | 16 | 11% |
Unknown | 33 | 23% |
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 31 May 2012.
All research outputs
#16,061,963
of 25,394,764 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#812
of 1,414 outputs
Outputs of similar age
#165,344
of 257,545 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#6
of 11 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,414 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 38th percentile – i.e., 38% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.