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Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models

Overview of attention for article published in Nature Machine Intelligence, July 2024
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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 (94th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

news
4 news outlets
twitter
7 X users

Readers on

mendeley
31 Mendeley
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Title
Lifelike agility and play in quadrupedal robots using reinforcement learning and generative pre-trained models
Published in
Nature Machine Intelligence, July 2024
DOI 10.1038/s42256-024-00861-3
Authors

Lei Han, Qingxu Zhu, Jiapeng Sheng, Chong Zhang, Tingguang Li, Yizheng Zhang, He Zhang, Yuzhen Liu, Cheng Zhou, Rui Zhao, Jie Li, Yufeng Zhang, Rui Wang, Wanchao Chi, Xiong Li, Yonghui Zhu, Lingzhu Xiang, Xiao Teng, Zhengyou Zhang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 16%
Student > Master 4 13%
Researcher 2 6%
Student > Bachelor 2 6%
Professor 1 3%
Other 1 3%
Unknown 16 52%
Readers by discipline Count As %
Engineering 9 29%
Computer Science 5 16%
Unspecified 1 3%
Unknown 16 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 33. 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 18 August 2024.
All research outputs
#1,305,447
of 26,646,559 outputs
Outputs from Nature Machine Intelligence
#344
of 845 outputs
Outputs of similar age
#17,793
of 310,706 outputs
Outputs of similar age from Nature Machine Intelligence
#10
of 36 outputs
Altmetric has tracked 26,646,559 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 845 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.1. This one has gotten more attention than average, scoring higher than 59% 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 310,706 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 94% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.