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Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation

Overview of attention for article published in Frontiers in Robotics and AI, March 2018
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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 (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
4 X users
patent
3 patents

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
53 Mendeley
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Title
Multi-Modal Detection and Mapping of Static and Dynamic Obstacles in Agriculture for Process Evaluation
Published in
Frontiers in Robotics and AI, March 2018
DOI 10.3389/frobt.2018.00028
Pubmed ID
Authors

Timo Korthals, Mikkel Kragh, Peter Christiansen, Henrik Karstoft, Rasmus N. Jørgensen, Ulrich Rückert

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Student > Ph. D. Student 9 17%
Researcher 5 9%
Professor > Associate Professor 3 6%
Student > Bachelor 3 6%
Other 2 4%
Unknown 20 38%
Readers by discipline Count As %
Engineering 21 40%
Computer Science 3 6%
Psychology 2 4%
Earth and Planetary Sciences 2 4%
Agricultural and Biological Sciences 1 2%
Other 4 8%
Unknown 20 38%
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 28 March 2024.
All research outputs
#4,414,964
of 24,387,992 outputs
Outputs from Frontiers in Robotics and AI
#280
of 1,640 outputs
Outputs of similar age
#82,255
of 333,759 outputs
Outputs of similar age from Frontiers in Robotics and AI
#14
of 38 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,640 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 82% 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 333,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 75% of its contemporaries.
We're also able to compare this research output to 38 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.