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Machine learning for biodiversity: UAV-based flower detection as an indirect proxy for bee abundance

Overview of attention for article published in Ecological Informatics, November 2025
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

bluesky
2 Bluesky users

Readers on

mendeley
32 Mendeley
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Article details
Title
Machine learning for biodiversity: UAV-based flower detection as an indirect proxy for bee abundance
Published in
Ecological Informatics, November 2025
DOI 10.1016/j.ecoinf.2025.103346
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 13%
Lecturer 3 9%
Student > Master 2 6%
Researcher 2 6%
Unspecified 1 3%
Other 3 9%
Unknown 17 53%
Readers by discipline
Readers by discipline Count As %
Environmental Science 4 13%
Engineering 3 9%
Agricultural and Biological Sciences 2 6%
Earth and Planetary Sciences 2 6%
Chemical Engineering 1 3%
Other 5 16%
Unknown 15 47%
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 17 August 2025.
All research outputs
#18,239,953
of 29,047,766 outputs
Outputs from Ecological Informatics
#565
of 981 outputs
Outputs of similar age
#3,336
of 7,222 outputs
Outputs of similar age from Ecological Informatics
#30
of 50 outputs
Altmetric has tracked 29,047,766 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 981 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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 7,222 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 52% of its contemporaries.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.