| Title |
Human-level performance in 3D multiplayer games with population-based reinforcement learning
|
|---|---|
| Published in |
Science, May 2019
|
| DOI | 10.1126/science.aau6249 |
| Pubmed ID | |
| Authors |
Max Jaderberg, Wojciech M. Czarnecki, Iain Dunning, Luke Marris, Guy Lever, Antonio Garcia Castañeda, Charles Beattie, Neil C. Rabinowitz, Ari S. Morcos, Avraham Ruderman, Nicolas Sonnerat, Tim Green, Louise Deason, Joel Z. Leibo, David Silver, Demis Hassabis, Koray Kavukcuoglu, Thore Graepel |
X Demographics
The data shown below were collected from the profiles of 605 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 | 116 | 19% |
| United Kingdom | 42 | 7% |
| France | 25 | 4% |
| India | 20 | 3% |
| Canada | 19 | 3% |
| Germany | 16 | 3% |
| Spain | 15 | 2% |
| Japan | 12 | 2% |
| Switzerland | 8 | 1% |
| Other | 85 | 14% |
| Unknown | 247 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 478 | 79% |
| Scientists | 108 | 18% |
| Science communicators (journalists, bloggers, editors) | 12 | 2% |
| Practitioners (doctors, other healthcare professionals) | 7 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 232 | 21% |
| Student > Master | 198 | 18% |
| Researcher | 157 | 14% |
| Student > Bachelor | 109 | 10% |
| Other | 54 | 5% |
| Other | 106 | 10% |
| Unknown | 256 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 468 | 42% |
| Engineering | 133 | 12% |
| Mathematics | 32 | 3% |
| Physics and Astronomy | 28 | 3% |
| Neuroscience | 27 | 2% |
| Other | 142 | 13% |
| Unknown | 282 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1079. 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 13 September 2023.
All research outputs
#13,636
of 24,858,211 outputs
Outputs from Science
#705
of 80,235 outputs
Outputs of similar age
#232
of 355,783 outputs
Outputs of similar age from Science
#12
of 1,051 outputs
Altmetric has tracked 24,858,211 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 80,235 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 64.8. This one has done particularly well, scoring higher than 99% 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 355,783 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 1,051 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 98% of its contemporaries.