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Mendeley readers
Attention Score in Context
| Title |
Continuous and simultaneous estimation of finger kinematics using inputs from an EMG-to-muscle activation model
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, August 2014
|
| DOI | 10.1186/1743-0003-11-122 |
| Pubmed ID | |
| Authors |
Jimson G Ngeo, Tomoya Tamei, Tomohiro Shibata |
| Abstract |
Surface electromyography (EMG) signals are often used in many robot and rehabilitation applications because these reflect motor intentions of users very well. However, very few studies have focused on the accurate and proportional control of the human hand using EMG signals. Many have focused on discrete gesture classification and some have encountered inherent problems such as electro-mechanical delays (EMD). Here, we present a new method for estimating simultaneous and multiple finger kinematics from multi-channel surface EMG signals. |
Mendeley readers
The data shown below were compiled from readership statistics for 241 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Unknown | 239 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 50 | 21% |
| Student > Master | 41 | 17% |
| Researcher | 25 | 10% |
| Student > Bachelor | 21 | 9% |
| Professor | 9 | 4% |
| Other | 38 | 16% |
| Unknown | 57 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 114 | 47% |
| Computer Science | 17 | 7% |
| Medicine and Dentistry | 10 | 4% |
| Neuroscience | 7 | 3% |
| Agricultural and Biological Sciences | 5 | 2% |
| Other | 23 | 10% |
| Unknown | 65 | 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 20 August 2014.
All research outputs
#20,234,388
of 22,760,687 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#1,137
of 1,278 outputs
Outputs of similar age
#194,340
of 231,195 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#16
of 18 outputs
Altmetric has tracked 22,760,687 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 231,195 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 18 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.