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Effectiveness of automated locomotor training in patients with acute incomplete spinal cord injury: A randomized controlled multicenter trial

Overview of attention for article published in BMC Neurology, May 2011
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Title
Effectiveness of automated locomotor training in patients with acute incomplete spinal cord injury: A randomized controlled multicenter trial
Published in
BMC Neurology, May 2011
DOI 10.1186/1471-2377-11-60
Pubmed ID
Authors

Markus Wirz, Carolien Bastiaenen, Rob de Bie, Volker Dietz

Abstract

A large proportion of patients with spinal cord injury (SCI) regain ambulatory function. However, during the first 3 months most of the patients are not able to walk unsupported. To enable ambulatory training at such an early stage the body weight is partially relieved and the leg movements are assisted by two therapists. A more recent approach is the application of robotic based assistance which allows for longer training duration. From motor learning science and studies including patients with stroke, it is known that training effects depend on the duration of the training. Longer trainings result in a better walking function. The aim of the present study is to evaluate if prolonged robot assisted walking training leads to a better walking outcome in patients with incomplete SCI and whether such training is feasible or has undesirable effects.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Netherlands 1 <1%
Australia 1 <1%
Czechia 1 <1%
Spain 1 <1%
Unknown 180 97%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 30 16%
Student > Master 28 15%
Researcher 23 12%
Student > Ph. D. Student 22 12%
Student > Doctoral Student 11 6%
Other 30 16%
Unknown 41 22%
Readers by discipline Count As %
Medicine and Dentistry 49 26%
Nursing and Health Professions 29 16%
Engineering 19 10%
Agricultural and Biological Sciences 13 7%
Neuroscience 6 3%
Other 21 11%
Unknown 48 26%
Attention Score in Context

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 31 March 2012.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from BMC Neurology
#1,474
of 2,414 outputs
Outputs of similar age
#83,821
of 112,020 outputs
Outputs of similar age from BMC Neurology
#15
of 21 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,414 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one is in the 26th percentile – i.e., 26% 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 112,020 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.