The data shown below were collected from the profiles of 603 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| 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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 88 | 15% |
| United Kingdom | 32 | 5% |
| France | 18 | 3% |
| India | 16 | 3% |
| Spain | 13 | 2% |
| Germany | 11 | 2% |
| Canada | 10 | 2% |
| Switzerland | 7 | 1% |
| Australia | 6 | <1% |
| Other | 64 | 11% |
| Unknown | 338 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 479 | 79% |
| Scientists | 105 | 17% |
| 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 1,145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 235 | 21% |
| Student > Master | 197 | 17% |
| Researcher | 158 | 14% |
| Student > Bachelor | 109 | 10% |
| Other | 54 | 5% |
| Other | 115 | 10% |
| Unknown | 277 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 467 | 41% |
| Engineering | 133 | 12% |
| Mathematics | 32 | 3% |
| Neuroscience | 29 | 3% |
| Physics and Astronomy | 28 | 2% |
| Other | 153 | 13% |
| Unknown | 303 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1075. 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 09 July 2024.
All research outputs
#15,231
of 26,379,745 outputs
Outputs from Science
#752
of 83,953 outputs
Outputs of similar age
#245
of 367,220 outputs
Outputs of similar age from Science
#13
of 1,050 outputs
Altmetric has tracked 26,379,745 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 83,953 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.6. 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 367,220 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 1,050 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.