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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Editorial: Modularity in motor control: from muscle synergies to cognitive action representation
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2015
|
| DOI | 10.3389/fncom.2015.00126 |
| Pubmed ID | |
| Authors |
Andrea d'Avella, Martin Giese, Yuri P. Ivanenko, Thomas Schack, Tamar Flash |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 207 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% |
| Israel | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 200 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 20% |
| Researcher | 33 | 16% |
| Student > Master | 25 | 12% |
| Student > Doctoral Student | 11 | 5% |
| Student > Bachelor | 11 | 5% |
| Other | 28 | 14% |
| Unknown | 58 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 48 | 23% |
| Neuroscience | 28 | 14% |
| Sports and Recreations | 14 | 7% |
| Agricultural and Biological Sciences | 12 | 6% |
| Psychology | 9 | 4% |
| Other | 31 | 15% |
| Unknown | 65 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 22 August 2018.
All research outputs
#14,431,072
of 23,577,654 outputs
Outputs from Frontiers in Computational Neuroscience
#643
of 1,379 outputs
Outputs of similar age
#141,429
of 280,209 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#17
of 36 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,379 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 49th percentile – i.e., 49% 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 280,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.