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Optimized intelligent control of a 2-degree of freedom robot for rehabilitation of lower limbs using neural network and genetic algorithm

Overview of attention for article published in Journal of NeuroEngineering and Rehabilitation, August 2013
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Mentioned by

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1 X user
facebook
1 Facebook page

Citations

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9 Dimensions

Readers on

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46 Mendeley
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Title
Optimized intelligent control of a 2-degree of freedom robot for rehabilitation of lower limbs using neural network and genetic algorithm
Published in
Journal of NeuroEngineering and Rehabilitation, August 2013
DOI 10.1186/1743-0003-10-96
Pubmed ID
Authors

Wahab Aminiazar, Farid Najafi, Mohammad Ali Nekoui

Abstract

There is an increasing trend in using robots for medical purposes. One specific area is rehabilitation. Rehabilitation is one of the non-drug treatments in community health which means the restoration of the abilities to maximize independence. It is a prolonged work and costly labor. On the other hand, by using the flexible and efficient robots in rehabilitation area, this process will be more useful for handicapped patients.

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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Czechia 1 2%
Unknown 44 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 22%
Student > Ph. D. Student 8 17%
Student > Bachelor 5 11%
Student > Doctoral Student 4 9%
Lecturer 3 7%
Other 7 15%
Unknown 9 20%
Readers by discipline Count As %
Engineering 14 30%
Medicine and Dentistry 6 13%
Nursing and Health Professions 3 7%
Chemical Engineering 2 4%
Computer Science 2 4%
Other 7 15%
Unknown 12 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 20 August 2013.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,044
of 1,413 outputs
Outputs of similar age
#151,105
of 207,928 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#17
of 29 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% 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 22nd percentile – i.e., 22% 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 207,928 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.