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A Differentiable Physics Engine for Deep Learning in Robotics

Overview of attention for article published in Frontiers in Neurorobotics, March 2019
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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 (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
10 X users
facebook
2 Facebook pages

Readers on

mendeley
303 Mendeley
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Title
A Differentiable Physics Engine for Deep Learning in Robotics
Published in
Frontiers in Neurorobotics, March 2019
DOI 10.3389/fnbot.2019.00006
Pubmed ID
Authors

Jonas Degrave, Michiel Hermans, Joni Dambre, Francis wyffels

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 303 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Canada 1 <1%
Australia 1 <1%
Unknown 300 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 86 28%
Student > Master 60 20%
Researcher 38 13%
Student > Bachelor 21 7%
Other 16 5%
Other 30 10%
Unknown 52 17%
Readers by discipline Count As %
Computer Science 111 37%
Engineering 93 31%
Physics and Astronomy 9 3%
Decision Sciences 4 1%
Chemistry 4 1%
Other 22 7%
Unknown 60 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 July 2021.
All research outputs
#4,134,680
of 23,132,033 outputs
Outputs from Frontiers in Neurorobotics
#89
of 890 outputs
Outputs of similar age
#88,409
of 352,354 outputs
Outputs of similar age from Frontiers in Neurorobotics
#3
of 14 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 890 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 89% 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 352,354 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.