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RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks

Overview of attention for article published in The International Journal of Robotics Research, December 2023
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
9 X users

Readers on

mendeley
28 Mendeley
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Title
RoboCraft: Learning to see, simulate, and shape elasto-plastic objects in 3D with graph networks
Published in
The International Journal of Robotics Research, December 2023
DOI 10.1177/02783649231219020
Authors

Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, Jiajun Wu

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 11%
Student > Doctoral Student 2 7%
Student > Ph. D. Student 2 7%
Student > Bachelor 2 7%
Student > Master 2 7%
Other 2 7%
Unknown 15 54%
Readers by discipline Count As %
Engineering 9 32%
Mathematics 1 4%
Unspecified 1 4%
Computer Science 1 4%
Business, Management and Accounting 1 4%
Other 0 0%
Unknown 15 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 April 2024.
All research outputs
#5,137,878
of 26,561,164 outputs
Outputs from The International Journal of Robotics Research
#153
of 1,022 outputs
Outputs of similar age
#87,868
of 390,058 outputs
Outputs of similar age from The International Journal of Robotics Research
#2
of 9 outputs
Altmetric has tracked 26,561,164 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,022 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done well, scoring higher than 85% 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 390,058 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.