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EEAGER: A Neural Network Model for Finding Beaver Complexes in Satellite and Aerial Imagery

Overview of attention for article published in JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, May 2023
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 1,827)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
13 news outlets
blogs
2 blogs
twitter
85 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
20 Mendeley
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Title
EEAGER: A Neural Network Model for Finding Beaver Complexes in Satellite and Aerial Imagery
Published in
JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, May 2023
DOI 10.1029/2022jg007196
Authors

Emily Fairfax, Eric Zhu, Nicholas Clinton, Stefania Maiman, Aman Shaikh, William W. Macfarlane, Joseph M. Wheaton, Dan Ackerstein, Eddie Corwin

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 85 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 %
Other 3 15%
Researcher 3 15%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 8 40%
Readers by discipline Count As %
Environmental Science 8 40%
Agricultural and Biological Sciences 2 10%
Earth and Planetary Sciences 1 5%
Engineering 1 5%
Unknown 8 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 176. 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 29 March 2024.
All research outputs
#247,527
of 26,483,923 outputs
Outputs from JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES
#14
of 1,827 outputs
Outputs of similar age
#5,583
of 401,956 outputs
Outputs of similar age from JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES
#2
of 45 outputs
Altmetric has tracked 26,483,923 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,827 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done particularly well, scoring higher than 99% 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 401,956 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.