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Efficacy of machine learning image classification for automated occupancy‐based monitoring

Overview of attention for article published in Remote Sensing in Ecology and Conservation, July 2023
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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 (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

Mentioned by

twitter
16 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Efficacy of machine learning image classification for automated occupancy‐based monitoring
Published in
Remote Sensing in Ecology and Conservation, July 2023
DOI 10.1002/rse2.356
Authors

Robert C. Lonsinger, Marlin M. Dart, Randy T. Larsen, Robert N. Knight

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 30%
Student > Ph. D. Student 3 15%
Other 2 10%
Student > Master 2 10%
Student > Bachelor 1 5%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 35%
Environmental Science 2 10%
Computer Science 2 10%
Unspecified 1 5%
Social Sciences 1 5%
Other 0 0%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 15 September 2023.
All research outputs
#4,297,024
of 26,192,167 outputs
Outputs from Remote Sensing in Ecology and Conservation
#201
of 339 outputs
Outputs of similar age
#69,540
of 372,971 outputs
Outputs of similar age from Remote Sensing in Ecology and Conservation
#7
of 15 outputs
Altmetric has tracked 26,192,167 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 339 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.0. 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 372,971 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 81% of its contemporaries.
We're also able to compare this research output to 15 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 53% of its contemporaries.