| Title |
From motor control to team play in simulated humanoid football
|
|---|---|
| Published in |
Science Robotics, August 2022
|
| DOI | 10.1126/scirobotics.abo0235 |
| Pubmed ID | |
| Authors |
Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess |
X Demographics
The data shown below were collected from the profiles of 304 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 | 44 | 14% |
| United Kingdom | 29 | 10% |
| Japan | 9 | 3% |
| India | 9 | 3% |
| Spain | 8 | 3% |
| France | 8 | 3% |
| Canada | 8 | 3% |
| Brazil | 6 | 2% |
| Germany | 5 | 2% |
| Other | 44 | 14% |
| Unknown | 134 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 226 | 74% |
| Scientists | 68 | 22% |
| Science communicators (journalists, bloggers, editors) | 7 | 2% |
| Practitioners (doctors, other healthcare professionals) | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 163 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 163 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 19% |
| Student > Master | 19 | 12% |
| Student > Bachelor | 14 | 9% |
| Researcher | 11 | 7% |
| Student > Doctoral Student | 8 | 5% |
| Other | 18 | 11% |
| Unknown | 62 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 47 | 29% |
| Engineering | 35 | 21% |
| Neuroscience | 5 | 3% |
| Business, Management and Accounting | 2 | 1% |
| Mathematics | 2 | 1% |
| Other | 10 | 6% |
| Unknown | 62 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 506. 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 11 August 2023.
All research outputs
#49,141
of 24,967,663 outputs
Outputs from Science Robotics
#44
of 600 outputs
Outputs of similar age
#1,575
of 422,819 outputs
Outputs of similar age from Science Robotics
#2
of 15 outputs
Altmetric has tracked 24,967,663 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 600 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 168.7. This one has done particularly well, scoring higher than 92% 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 422,819 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 99% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.