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X Demographics
Mendeley readers
Attention Score in Context
| Title |
On the Relationship Between Muscle Synergies and Redundant Degrees of Freedom in Musculoskeletal Systems
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, April 2019
|
| DOI | 10.3389/fncom.2019.00023 |
| Pubmed ID | |
| Authors |
Reza Sharif Razavian, Borna Ghannadi, John McPhee |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 22% |
| United States | 2 | 22% |
| Italy | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 31% |
| Student > Master | 8 | 15% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 3 | 6% |
| Other | 3 | 6% |
| Other | 7 | 13% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 19 | 35% |
| Nursing and Health Professions | 7 | 13% |
| Neuroscience | 7 | 13% |
| Sports and Recreations | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Other | 4 | 7% |
| Unknown | 12 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 23 June 2019.
All research outputs
#5,600,462
of 23,144,579 outputs
Outputs from Frontiers in Computational Neuroscience
#246
of 1,360 outputs
Outputs of similar age
#94,293
of 319,127 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#7
of 24 outputs
Altmetric has tracked 23,144,579 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,360 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 81% 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 319,127 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 70% of its contemporaries.
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 has gotten more attention than average, scoring higher than 70% of its contemporaries.