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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimality Principles in Human Point-to-Manifold Reaching Accounting for Muscle Dynamics
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, May 2020
|
| DOI | 10.3389/fncom.2020.00038 |
| Pubmed ID | |
| Authors |
Isabell Wochner, Danny Driess, Heiko Zimmermann, Daniel F. B. Haeufle, Marc Toussaint, Syn Schmitt |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Bosnia and Herzegovina | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 34% |
| Student > Bachelor | 5 | 16% |
| Student > Master | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 7 | 22% |
| Neuroscience | 3 | 9% |
| Nursing and Health Professions | 2 | 6% |
| Sports and Recreations | 2 | 6% |
| Business, Management and Accounting | 1 | 3% |
| Other | 4 | 13% |
| Unknown | 13 | 41% |
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 02 June 2020.
All research outputs
#16,215,484
of 25,622,179 outputs
Outputs from Frontiers in Computational Neuroscience
#743
of 1,472 outputs
Outputs of similar age
#245,312
of 422,663 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#17
of 27 outputs
Altmetric has tracked 25,622,179 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 46th percentile – i.e., 46% 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 422,663 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.