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A Bayesian framework for 3D point cloud filtering

Overview of attention for article published in Journal of Spatial Science, April 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Readers on

mendeley
1 Mendeley
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Title
A Bayesian framework for 3D point cloud filtering
Published in
Journal of Spatial Science, April 2024
DOI 10.1080/14498596.2024.2337742
Authors

Haval AbdulJabbar Sadeq

Timeline

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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.
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 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Earth and Planetary Sciences 1 100%
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 12 April 2024.
All research outputs
#17,535,046
of 25,708,267 outputs
Outputs from Journal of Spatial Science
#51
of 75 outputs
Outputs of similar age
#82,573
of 162,762 outputs
Outputs of similar age from Journal of Spatial Science
#1
of 1 outputs
Altmetric has tracked 25,708,267 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 75 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.6. This one is in the 14th percentile – i.e., 14% 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 162,762 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them