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Mendeley readers
Attention Score in Context
| Title |
Prediction of muscle activity during loaded movements of the upper limb
|
|---|---|
| Published in |
Journal of NeuroEngineering and Rehabilitation, January 2015
|
| DOI | 10.1186/1743-0003-12-6 |
| Pubmed ID | |
| Authors |
Robert Tibold, Andrew J Fuglevand |
| Abstract |
Accurate prediction of electromyographic (EMG) signals associated with a variety of motor behaviors could, in theory, serve as activity templates needed to evoke movements in paralyzed individuals using functional electrical stimulation. Such predictions should encompass complex multi-joint movements and include interactions with objects in the environment. |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| France | 1 | <1% |
| Austria | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 98 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 19% |
| Student > Bachelor | 16 | 16% |
| Student > Master | 13 | 13% |
| Researcher | 10 | 10% |
| Student > Doctoral Student | 5 | 5% |
| Other | 17 | 17% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 37 | 36% |
| Medicine and Dentistry | 9 | 9% |
| Neuroscience | 8 | 8% |
| Computer Science | 7 | 7% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 27 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 April 2024.
All research outputs
#8,261,756
of 25,373,627 outputs
Outputs from Journal of NeuroEngineering and Rehabilitation
#524
of 1,413 outputs
Outputs of similar age
#110,893
of 377,403 outputs
Outputs of similar age from Journal of NeuroEngineering and Rehabilitation
#13
of 26 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
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 has gotten more attention than average, scoring higher than 61% of its peers.
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 377,403 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.