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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 (#13 of 1,795)
  • 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
87 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
3 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 87 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
#239,650
of 26,202,139 outputs
Outputs from JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES
#13
of 1,795 outputs
Outputs of similar age
#5,410
of 398,136 outputs
Outputs of similar age from JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES
#2
of 45 outputs
Altmetric has tracked 26,202,139 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 1,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. 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 398,136 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.