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Learning Trajectory Distributions for Assisted Teleoperation and Path Planning

Overview of attention for article published in Frontiers in Robotics and AI, September 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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5 X users

Citations

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13 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Learning Trajectory Distributions for Assisted Teleoperation and Path Planning
Published in
Frontiers in Robotics and AI, September 2019
DOI 10.3389/frobt.2019.00089
Pubmed ID
Authors

Marco Ewerton, Oleg Arenz, Guilherme Maeda, Dorothea Koert, Zlatko Kolev, Masaki Takahashi, Jan Peters

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 25%
Student > Master 11 22%
Researcher 6 12%
Student > Bachelor 2 4%
Student > Postgraduate 2 4%
Other 4 8%
Unknown 13 25%
Readers by discipline Count As %
Engineering 23 45%
Computer Science 11 22%
Psychology 1 2%
Business, Management and Accounting 1 2%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 13 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 26 September 2019.
All research outputs
#7,348,158
of 23,164,913 outputs
Outputs from Frontiers in Robotics and AI
#506
of 1,526 outputs
Outputs of similar age
#131,196
of 345,496 outputs
Outputs of similar age from Frontiers in Robotics and AI
#15
of 43 outputs
Altmetric has tracked 23,164,913 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,526 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.7. This one has gotten more attention than average, scoring higher than 65% 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 345,496 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 61% of its contemporaries.
We're also able to compare this research output to 43 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 65% of its contemporaries.