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Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN

Overview of attention for article published in Remote Sensing in Ecology and Conservation, 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 325)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

twitter
132 X users

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN
Published in
Remote Sensing in Ecology and Conservation, May 2023
DOI 10.1002/rse2.332
Authors

James G. C. Ball, Sebastian H. M. Hickman, Tobias D. Jackson, Xian Jing Koay, James Hirst, William Jay, Matthew Archer, Mélaine Aubry‐Kientz, Grégoire Vincent, David A. Coomes

X Demographics

X Demographics

The data shown below were collected from the profiles of 132 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Bachelor 7 14%
Unspecified 6 12%
Student > Doctoral Student 3 6%
Student > Master 3 6%
Other 5 10%
Unknown 17 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 16%
Unspecified 6 12%
Environmental Science 6 12%
Engineering 4 8%
Earth and Planetary Sciences 3 6%
Other 5 10%
Unknown 18 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 86. 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 27 May 2023.
All research outputs
#503,137
of 25,738,558 outputs
Outputs from Remote Sensing in Ecology and Conservation
#14
of 325 outputs
Outputs of similar age
#11,112
of 399,217 outputs
Outputs of similar age from Remote Sensing in Ecology and Conservation
#1
of 18 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 325 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.4. This one has done particularly well, scoring higher than 95% 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 399,217 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 97% of its contemporaries.
We're also able to compare this research output to 18 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 94% of its contemporaries.