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Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes

Overview of attention for article published in International Journal of Computer Vision, June 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

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12 Dimensions

Readers on

mendeley
54 Mendeley
Title
Semi-supervised Semantic Mapping Through Label Propagation with Semantic Texture Meshes
Published in
International Journal of Computer Vision, June 2019
DOI 10.1007/s11263-019-01187-z
Authors

Radu Alexandru Rosu, Jan Quenzel, Sven Behnke

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 16 30%
Student > Master 8 15%
Student > Bachelor 4 7%
Student > Doctoral Student 4 7%
Other 2 4%
Other 7 13%
Unknown 13 24%
Readers by discipline Count As %
Computer Science 23 43%
Engineering 13 24%
Unspecified 2 4%
Unknown 16 30%
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 18 June 2019.
All research outputs
#13,722,312
of 23,978,545 outputs
Outputs from International Journal of Computer Vision
#830
of 1,256 outputs
Outputs of similar age
#167,980
of 356,759 outputs
Outputs of similar age from International Journal of Computer Vision
#5
of 7 outputs
Altmetric has tracked 23,978,545 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 33rd percentile – i.e., 33% 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 356,759 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 52% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.