The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The neural origin of muscle synergies
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, January 2013
|
| DOI | 10.3389/fncom.2013.00051 |
| Pubmed ID | |
| Authors |
Emilio Bizzi, Vincent C. K. Cheung |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 18% |
| Australia | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 3 | 27% |
| Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 663 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | <1% |
| Spain | 2 | <1% |
| Japan | 2 | <1% |
| Italy | 1 | <1% |
| Austria | 1 | <1% |
| Brazil | 1 | <1% |
| Uruguay | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 6 | <1% |
| Unknown | 641 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 147 | 22% |
| Student > Master | 101 | 15% |
| Researcher | 97 | 15% |
| Student > Bachelor | 54 | 8% |
| Student > Doctoral Student | 44 | 7% |
| Other | 103 | 16% |
| Unknown | 117 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 193 | 29% |
| Neuroscience | 114 | 17% |
| Agricultural and Biological Sciences | 53 | 8% |
| Medicine and Dentistry | 46 | 7% |
| Sports and Recreations | 44 | 7% |
| Other | 75 | 11% |
| Unknown | 138 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. 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 14 June 2024.
All research outputs
#1,682,696
of 26,316,370 outputs
Outputs from Frontiers in Computational Neuroscience
#62
of 1,490 outputs
Outputs of similar age
#14,455
of 294,479 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#8
of 139 outputs
Altmetric has tracked 26,316,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,490 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done particularly well, scoring higher than 95% 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 294,479 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.