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Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks

Overview of attention for article published in Frontiers in Robotics and AI, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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4 X users

Citations

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3 Dimensions

Readers on

mendeley
10 Mendeley
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Title
Using Deep Neural Networks to Improve Contact Wrench Estimation of Serial Robotic Manipulators in Static Tasks
Published in
Frontiers in Robotics and AI, April 2022
DOI 10.3389/frobt.2022.892916
Pubmed ID
Authors

Jonas Osburg, Ivo Kuhlemann, Jannis Hagenah, Floris Ernst

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 20%
Student > Bachelor 2 20%
Student > Doctoral Student 1 10%
Researcher 1 10%
Professor > Associate Professor 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Engineering 3 30%
Computer Science 2 20%
Physics and Astronomy 1 10%
Arts and Humanities 1 10%
Unknown 3 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 29 April 2022.
All research outputs
#13,750,494
of 23,312,088 outputs
Outputs from Frontiers in Robotics and AI
#706
of 1,540 outputs
Outputs of similar age
#190,885
of 443,451 outputs
Outputs of similar age from Frontiers in Robotics and AI
#33
of 92 outputs
Altmetric has tracked 23,312,088 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,540 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one has gotten more attention than average, scoring higher than 51% 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 443,451 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 54% of its contemporaries.
We're also able to compare this research output to 92 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 63% of its contemporaries.