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Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence

Overview of attention for article published in Frontiers in Robotics and AI, April 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

twitter
30 X users

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Tracking All Members of a Honey Bee Colony Over Their Lifetime Using Learned Models of Correspondence
Published in
Frontiers in Robotics and AI, April 2018
DOI 10.3389/frobt.2018.00035
Pubmed ID
Authors

Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, David Dormagen, Fernando Wario, Tim Landgraf

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 72 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 19%
Researcher 9 13%
Student > Master 8 11%
Student > Bachelor 5 7%
Lecturer 4 6%
Other 12 17%
Unknown 20 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 21%
Computer Science 14 19%
Biochemistry, Genetics and Molecular Biology 6 8%
Neuroscience 6 8%
Engineering 3 4%
Other 5 7%
Unknown 23 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 02 July 2021.
All research outputs
#2,159,624
of 26,565,554 outputs
Outputs from Frontiers in Robotics and AI
#134
of 1,840 outputs
Outputs of similar age
#43,362
of 347,021 outputs
Outputs of similar age from Frontiers in Robotics and AI
#9
of 37 outputs
Altmetric has tracked 26,565,554 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,840 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has done particularly well, scoring higher than 92% 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 347,021 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 87% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.