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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Assessment of validity of a high-yield surface electromyogram decomposition
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, September 2013
|
| DOI | 10.1186/1743-0003-10-99 |
| Pubmed ID | |
| Authors |
Xiaogang Hu, William Z Rymer, Nina L Suresh |
| Abstract |
Using recordings from a five-pin surface sensor array, a template-based surface electromyogram (sEMG) decomposition system has been developed to identify single motor unit discharge properties. However, the reliability of such template based decomposition results has not been thoroughly examined except by the developers. The focus of this study was to assess the validity of the motor unit decomposition technique, using EMG recordings from the first dorsal interosseous muscle of able-bodied human subjects. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 59 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 20% |
| Student > Master | 11 | 18% |
| Researcher | 6 | 10% |
| Student > Postgraduate | 6 | 10% |
| Professor | 4 | 7% |
| Other | 11 | 18% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 21 | 34% |
| Sports and Recreations | 7 | 11% |
| Medicine and Dentistry | 6 | 10% |
| Neuroscience | 5 | 8% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 15 | 25% |
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 24 September 2013.
All research outputs
#22,758,309
of 25,373,627 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,264
of 1,413 outputs
Outputs of similar age
#190,365
of 214,768 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#9
of 12 outputs
Altmetric has tracked 25,373,627 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 1,413 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 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 214,768 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 12 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.