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Practical Aspects of Model-Based Collision Detection

Overview of attention for article published in Frontiers in Robotics and AI, November 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
9 X users

Readers on

mendeley
30 Mendeley
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Title
Practical Aspects of Model-Based Collision Detection
Published in
Frontiers in Robotics and AI, November 2020
DOI 10.3389/frobt.2020.571574
Pubmed ID
Authors

Shamil Mamedov, Stanislav Mikhel

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Bachelor 3 10%
Student > Ph. D. Student 2 7%
Professor 1 3%
Lecturer 1 3%
Other 1 3%
Unknown 17 57%
Readers by discipline Count As %
Engineering 10 33%
Computer Science 2 7%
Unknown 18 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 December 2020.
All research outputs
#6,295,663
of 23,263,851 outputs
Outputs from Frontiers in Robotics and AI
#396
of 1,535 outputs
Outputs of similar age
#154,299
of 508,437 outputs
Outputs of similar age from Frontiers in Robotics and AI
#15
of 69 outputs
Altmetric has tracked 23,263,851 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 1,535 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 73% 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 508,437 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 69% of its contemporaries.
We're also able to compare this research output to 69 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.