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3D indoor scene modeling from RGB-D data: a survey

Overview of attention for article published in Computational Visual Media, December 2015
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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 (78th percentile)

Mentioned by

patent
5 patents

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
127 Mendeley
Title
3D indoor scene modeling from RGB-D data: a survey
Published in
Computational Visual Media, December 2015
DOI 10.1007/s41095-015-0029-x
Authors

Kang Chen, Yu-Kun Lai, Shi-Min Hu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Egypt 1 <1%
Unknown 126 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 28%
Student > Master 34 27%
Researcher 9 7%
Student > Doctoral Student 7 6%
Student > Bachelor 6 5%
Other 14 11%
Unknown 22 17%
Readers by discipline Count As %
Computer Science 56 44%
Engineering 35 28%
Earth and Planetary Sciences 3 2%
Mathematics 2 2%
Business, Management and Accounting 1 <1%
Other 6 5%
Unknown 24 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 September 2023.
All research outputs
#5,202,929
of 24,535,155 outputs
Outputs from Computational Visual Media
#10
of 51 outputs
Outputs of similar age
#82,657
of 397,469 outputs
Outputs of similar age from Computational Visual Media
#1
of 4 outputs
Altmetric has tracked 24,535,155 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 51 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 78% 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 397,469 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 4 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