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Challenges and solutions for automated avian recognition in aerial imagery

Overview of attention for article published in Remote Sensing in Ecology and Conservation, April 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Challenges and solutions for automated avian recognition in aerial imagery
Published in
Remote Sensing in Ecology and Conservation, April 2023
DOI 10.1002/rse2.318
Authors

Zhongqi Miao, Stella X. Yu, Kyle L. Landolt, Mark D. Koneff, Timothy P. White, Luke J. Fara, Enrika J. Hlavacek, Bradley A. Pickens, Travis J. Harrison, Wayne M. Getz

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 6%
Lecturer 1 6%
Student > Master 1 6%
Unknown 13 81%
Readers by discipline Count As %
Agricultural and Biological Sciences 2 13%
Computer Science 1 6%
Environmental Science 1 6%
Unknown 12 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 16 June 2023.
All research outputs
#8,483,581
of 25,394,764 outputs
Outputs from Remote Sensing in Ecology and Conservation
#272
of 322 outputs
Outputs of similar age
#146,561
of 410,075 outputs
Outputs of similar age from Remote Sensing in Ecology and Conservation
#13
of 16 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 322 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.3. This one is in the 15th percentile – i.e., 15% 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 410,075 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 63% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.