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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Generating Shared Latent Variables for Robots to Imitate Human Movements and Understand Their Physical Limitations
|
|---|---|
| Chapter number | 15 |
| Book title |
Physics of Solid Surfaces
|
| Published in |
arXiv, January 2019
|
| DOI | 10.1007/978-3-030-11012-3_15 |
| Book ISBNs |
978-3-66-253906-4, 978-3-66-253908-8, 978-3-03-011011-6, 978-3-03-011012-3
|
| Authors |
Maxime Devanne, Sao Mai Nguyen, Devanne, Maxime, Nguyen, Sao Mai |
X Demographics
The data shown below were collected from the profiles of 25 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 12% |
| Japan | 1 | 4% |
| Turkey | 1 | 4% |
| Brazil | 1 | 4% |
| Netherlands | 1 | 4% |
| Portugal | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 16 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 80% |
| Scientists | 3 | 12% |
| Science communicators (journalists, bloggers, editors) | 1 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 26% |
| Student > Doctoral Student | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Bachelor | 2 | 9% |
| Professor > Associate Professor | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 35% |
| Engineering | 6 | 26% |
| Social Sciences | 1 | 4% |
| Environmental Science | 1 | 4% |
| Unknown | 7 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 04 November 2021.
All research outputs
#3,606,201
of 24,998,746 outputs
Outputs from arXiv
#64,435
of 1,020,287 outputs
Outputs of similar age
#81,105
of 449,647 outputs
Outputs of similar age from arXiv
#1,622
of 22,540 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,020,287 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done particularly well, scoring higher than 93% 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 449,647 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 22,540 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 92% of its contemporaries.