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An improved progressive triangular irregular network densification filtering algorithm for airborne LiDAR data

Overview of attention for article published in Frontiers in Earth Science, January 2023
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Mentioned by

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1 X user

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
An improved progressive triangular irregular network densification filtering algorithm for airborne LiDAR data
Published in
Frontiers in Earth Science, January 2023
DOI 10.3389/feart.2022.1015153
Authors

Na Chen, Nanmeng Wang, Yi He, Xiang Ding, Jian Kong

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 33%
Student > Ph. D. Student 1 33%
Unknown 1 33%
Readers by discipline Count As %
Engineering 2 67%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 16 January 2023.
All research outputs
#20,919,770
of 23,549,388 outputs
Outputs from Frontiers in Earth Science
#3,245
of 5,083 outputs
Outputs of similar age
#344,254
of 434,855 outputs
Outputs of similar age from Frontiers in Earth Science
#218
of 480 outputs
Altmetric has tracked 23,549,388 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,083 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% 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 434,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 480 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.