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Classifying 3D objects in LiDAR point clouds with a back-propagation neural network

Overview of attention for article published in Human-centric Computing and Information Sciences, October 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
2 X users
patent
2 patents

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
54 Mendeley
Title
Classifying 3D objects in LiDAR point clouds with a back-propagation neural network
Published in
Human-centric Computing and Information Sciences, October 2018
DOI 10.1186/s13673-018-0152-7
Authors

Wei Song, Shuanghui Zou, Yifei Tian, Simon Fong, Kyungeun Cho

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 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 9 17%
Researcher 6 11%
Student > Bachelor 4 7%
Student > Doctoral Student 3 6%
Other 6 11%
Unknown 16 30%
Readers by discipline Count As %
Computer Science 17 31%
Engineering 16 30%
Arts and Humanities 2 4%
Social Sciences 1 2%
Earth and Planetary Sciences 1 2%
Other 0 0%
Unknown 17 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 05 October 2022.
All research outputs
#5,283,313
of 25,738,558 outputs
Outputs from Human-centric Computing and Information Sciences
#21
of 85 outputs
Outputs of similar age
#95,981
of 359,240 outputs
Outputs of similar age from Human-centric Computing and Information Sciences
#2
of 3 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 85 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done well, scoring higher than 75% 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 359,240 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 73% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.