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Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project

Overview of attention for article published in Remote Sensing, June 2020
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

Mentioned by

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5 X users

Citations

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Readers on

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10 Mendeley
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Title
Positional Accuracy Assessment of Lidar Point Cloud from NAIP/3DEP Pilot Project
Published in
Remote Sensing, June 2020
DOI 10.3390/rs12121974
Authors

Minsu Kim, Seonkyung Park, Jeffrey Irwin, Collin McCormick, Jeffrey Danielson, Gregory Stensaas, Aparajithan Sampath, Mark Bauer, Matthew Burgess

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 20%
Student > Ph. D. Student 2 20%
Unspecified 1 10%
Researcher 1 10%
Student > Bachelor 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Computer Science 2 20%
Environmental Science 1 10%
Unspecified 1 10%
Physics and Astronomy 1 10%
Engineering 1 10%
Other 0 0%
Unknown 4 40%
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 11 January 2021.
All research outputs
#12,647,684
of 22,883,326 outputs
Outputs from Remote Sensing
#3,473
of 11,355 outputs
Outputs of similar age
#176,414
of 398,071 outputs
Outputs of similar age from Remote Sensing
#188
of 597 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,355 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 68% 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 398,071 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 55% of its contemporaries.
We're also able to compare this research output to 597 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 67% of its contemporaries.