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Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-Dynamic Contact Models

Overview of attention for article published in IEEE Transactions on Robotics, August 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#15 of 857)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
13 news outlets
blogs
1 blog

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
46 Mendeley
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Title
Global Planning for Contact-Rich Manipulation via Local Smoothing of Quasi-Dynamic Contact Models
Published in
IEEE Transactions on Robotics, August 2023
DOI 10.1109/tro.2023.3300230
Authors

Tao Pang, H. J. Terry Suh, Lujie Yang, Russ Tedrake

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Student > Master 7 15%
Researcher 4 9%
Student > Bachelor 3 7%
Other 2 4%
Other 4 9%
Unknown 18 39%
Readers by discipline Count As %
Engineering 20 43%
Computer Science 7 15%
Unknown 19 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 02 November 2023.
All research outputs
#422,749
of 25,394,764 outputs
Outputs from IEEE Transactions on Robotics
#15
of 857 outputs
Outputs of similar age
#7,945
of 355,507 outputs
Outputs of similar age from IEEE Transactions on Robotics
#1
of 6 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 857 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has done particularly well, scoring higher than 98% 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 355,507 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 97% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them