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Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework

Overview of attention for article published in Frontiers in Plant Science, June 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
2 X users

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
39 Mendeley
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Title
Individual Tree Crown Segmentation and Crown Width Extraction From a Heightmap Derived From Aerial Laser Scanning Data Using a Deep Learning Framework
Published in
Frontiers in Plant Science, June 2022
DOI 10.3389/fpls.2022.914974
Pubmed ID
Authors

Chenxin Sun, Chengwei Huang, Huaiqing Zhang, Bangqian Chen, Feng An, Liwen Wang, Ting Yun

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 10%
Student > Doctoral Student 3 8%
Lecturer 1 3%
Professor 1 3%
Student > Bachelor 1 3%
Other 2 5%
Unknown 27 69%
Readers by discipline Count As %
Computer Science 3 8%
Environmental Science 2 5%
Engineering 2 5%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Other 1 3%
Unknown 29 74%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 July 2022.
All research outputs
#14,800,681
of 22,788,370 outputs
Outputs from Frontiers in Plant Science
#9,206
of 20,075 outputs
Outputs of similar age
#224,041
of 438,503 outputs
Outputs of similar age from Frontiers in Plant Science
#439
of 1,334 outputs
Altmetric has tracked 22,788,370 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,075 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% 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 438,503 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,334 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 55% of its contemporaries.