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Human-level performance in 3D multiplayer games with population-based reinforcement learning

Overview of attention for article published in Science, May 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
77 news outlets
blogs
11 blogs
twitter
606 X users
patent
3 patents
reddit
5 Redditors
video
1 YouTube creator

Citations

dimensions_citation
369 Dimensions

Readers on

mendeley
1131 Mendeley
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

X Demographics

The data shown below were collected from the profiles of 606 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,131 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1131 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 232 21%
Student > Master 197 17%
Researcher 158 14%
Student > Bachelor 109 10%
Other 54 5%
Other 112 10%
Unknown 269 24%
Readers by discipline Count As %
Computer Science 467 41%
Engineering 133 12%
Mathematics 32 3%
Physics and Astronomy 28 2%
Neuroscience 27 2%
Other 149 13%
Unknown 295 26%
Attention Score in Context

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 06 December 2023.
All research outputs
#14,585
of 25,744,802 outputs
Outputs from Science
#733
of 83,274 outputs
Outputs of similar age
#240
of 365,024 outputs
Outputs of similar age from Science
#13
of 1,050 outputs
Altmetric has tracked 25,744,802 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 83,274 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.9. 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 365,024 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.