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DeepForest: A Python package for RGB deep learning tree crown delineation

Overview of attention for article published in Methods in Ecology and Evolution, October 2020
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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 (89th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
14 X users
peer_reviews
1 peer review site
reddit
1 Redditor

Readers on

mendeley
201 Mendeley
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Article details
Title
DeepForest: A Python package for RGB deep learning tree crown delineation
Published in
Methods in Ecology and Evolution, October 2020
DOI 10.1111/2041-210x.13472
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 201 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 29 14%
Student > Ph. D. Student 24 12%
Student > Master 22 11%
Student > Doctoral Student 10 5%
Other 7 3%
Other 13 6%
Unknown 96 48%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 25 12%
Environmental Science 24 12%
Engineering 13 6%
Earth and Planetary Sciences 11 5%
Computer Science 7 3%
Other 13 6%
Unknown 108 54%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 19 February 2026.
All research outputs
#2,269,741
of 32,351,499 outputs
Outputs from Methods in Ecology and Evolution
#803
of 2,863 outputs
Outputs of similar age
#47,366
of 458,176 outputs
Outputs of similar age from Methods in Ecology and Evolution
#24
of 64 outputs
Altmetric has tracked 32,351,499 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,863 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.1. This one has gotten more attention than average, scoring higher than 71% 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 458,176 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 89% of its contemporaries.
We're also able to compare this research output to 64 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 62% of its contemporaries.