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Unsupervised algorithms to detect single trees in a mixed-species and multilayered Mediterranean forest using LiDAR data

Overview of attention for article published in Canadian Journal of Forest Research, June 2021
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  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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3 X users

Readers on

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28 Mendeley
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Article details
Title
Unsupervised algorithms to detect single trees in a mixed-species and multilayered Mediterranean forest using LiDAR data
Published in
Canadian Journal of Forest Research, June 2021
DOI 10.1139/cjfr-2020-0510
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 5 18%
Student > Ph. D. Student 3 11%
Student > Postgraduate 3 11%
Student > Doctoral Student 2 7%
Lecturer 1 4%
Other 4 14%
Unknown 10 36%
Readers by discipline
Readers by discipline Count As %
Environmental Science 5 18%
Agricultural and Biological Sciences 5 18%
Computer Science 3 11%
Earth and Planetary Sciences 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Other 1 4%
Unknown 11 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 June 2021.
All research outputs
#14,611,205
of 25,392,582 outputs
Outputs from Canadian Journal of Forest Research
#1,040
of 2,055 outputs
Outputs of similar age
#205,465
of 458,447 outputs
Outputs of similar age from Canadian Journal of Forest Research
#9
of 16 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,055 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 48th percentile – i.e., 48% 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 458,447 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.