You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Towards identification of finger flexions using single channel surface electromyography – able bodied and amputee subjects
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, June 2013
|
| DOI | 10.1186/1743-0003-10-50 |
| Pubmed ID | |
| Authors |
Dinesh Kant Kumar, Sridhar Poosapadi Arjunan, Vijay Pal Singh |
| Abstract |
This research has established a method for using single channel surface electromyogram (sEMG) recorded from the forearm to identify individual finger flexion. The technique uses the volume conduction properties of the tissues and uses the magnitude and density of the singularities in the signal as a measure of strength of the muscle activity. |
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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Germany | 1 | 1% |
| Brazil | 1 | 1% |
| India | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 65 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Student > Bachelor | 12 | 17% |
| Researcher | 11 | 16% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 4 | 6% |
| Other | 7 | 10% |
| Unknown | 14 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 27 | 39% |
| Medicine and Dentistry | 6 | 9% |
| Computer Science | 5 | 7% |
| Sports and Recreations | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 6 | 9% |
| Unknown | 19 | 27% |
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 08 June 2013.
All research outputs
#20,194,368
of 22,711,645 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,137
of 1,278 outputs
Outputs of similar age
#172,496
of 197,464 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#19
of 24 outputs
Altmetric has tracked 22,711,645 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 1,278 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 197,464 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 24 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.