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Mendeley readers
Attention Score in Context
| Title |
Forelimb EMG-based trigger to control an electronic spinal bridge to enable hindlimb stepping after a complete spinal cord lesion in rats
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, June 2012
|
| DOI | 10.1186/1743-0003-9-38 |
| Pubmed ID | |
| Authors |
Parag Gad, Jonathan Woodbridge, Igor Lavrov, Hui Zhong, Roland R Roy, Majid Sarrafzadeh, V Reggie Edgerton |
| Abstract |
A complete spinal cord transection results in loss of all supraspinal motor control below the level of the injury. The neural circuitry in the lumbosacral spinal cord, however, can generate locomotor patterns in the hindlimbs of rats and cats with the aid of motor training, epidural stimulation and/or administration of monoaminergic agonists. We hypothesized that there are patterns of EMG signals from the forelimbs during quadrupedal locomotion that uniquely represent a signal for the "intent" to step with the hindlimbs. These observations led us to determine whether this type of "indirect" volitional control of stepping can be achieved after a complete spinal cord injury. The objective of this study was to develop an electronic bridge across the lesion of the spinal cord to facilitate hindlimb stepping after a complete mid-thoracic spinal cord injury in adult rats. |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 1 | 1% |
| Unknown | 69 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 21% |
| Researcher | 15 | 21% |
| Student > Bachelor | 9 | 12% |
| Student > Master | 7 | 10% |
| Professor | 5 | 7% |
| Other | 14 | 19% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 23% |
| Medicine and Dentistry | 13 | 18% |
| Neuroscience | 8 | 11% |
| Agricultural and Biological Sciences | 7 | 10% |
| Sports and Recreations | 5 | 7% |
| Other | 12 | 16% |
| Unknown | 11 | 15% |
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 28 March 2013.
All research outputs
#20,187,333
of 22,703,044 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,136
of 1,277 outputs
Outputs of similar age
#151,168
of 167,175 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#10
of 11 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% 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 167,175 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.