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Semantic soft segmentation

Overview of attention for article published in ACM Transactions on Graphics, August 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
270 Mendeley
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Title
Semantic soft segmentation
Published in
ACM Transactions on Graphics, August 2018
DOI 10.1145/3197517.3201275
Authors

Yağiz Aksoy, Tae-Hyun Oh, Sylvain Paris, Marc Pollefeys, Wojciech Matusik

Mendeley readers

The data shown below were compiled from readership statistics for 270 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 270 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 70 26%
Student > Ph. D. Student 55 20%
Researcher 29 11%
Student > Bachelor 21 8%
Other 14 5%
Other 26 10%
Unknown 55 20%
Readers by discipline Count As %
Computer Science 166 61%
Engineering 25 9%
Neuroscience 4 1%
Unspecified 3 1%
Mathematics 3 1%
Other 9 3%
Unknown 60 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 24 August 2018.
All research outputs
#1,031,357
of 14,574,989 outputs
Outputs from ACM Transactions on Graphics
#77
of 1,700 outputs
Outputs of similar age
#32,795
of 273,996 outputs
Outputs of similar age from ACM Transactions on Graphics
#14
of 39 outputs
Altmetric has tracked 14,574,989 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,700 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 95% 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 273,996 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 88% of its contemporaries.
We're also able to compare this research output to 39 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 64% of its contemporaries.