↓ Skip to main content

Segmentation of Natural Images by Texture and Boundary Compression

Overview of attention for article published in International Journal of Computer Vision, April 2011
Altmetric Badge

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 (72nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
108 Dimensions

Readers on

mendeley
133 Mendeley
Title
Segmentation of Natural Images by Texture and Boundary Compression
Published in
International Journal of Computer Vision, April 2011
DOI 10.1007/s11263-011-0444-0
Authors

Hossein Mobahi, Shankar R. Rao, Allen Y. Yang, Shankar S. Sastry, Yi Ma

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 2%
United States 2 2%
Japan 2 2%
Belgium 2 2%
United Kingdom 1 <1%
Slovakia 1 <1%
France 1 <1%
Taiwan 1 <1%
China 1 <1%
Other 0 0%
Unknown 120 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 32%
Student > Master 25 19%
Researcher 24 18%
Student > Bachelor 8 6%
Professor > Associate Professor 6 5%
Other 20 15%
Unknown 7 5%
Readers by discipline Count As %
Computer Science 78 59%
Engineering 21 16%
Earth and Planetary Sciences 4 3%
Physics and Astronomy 4 3%
Agricultural and Biological Sciences 3 2%
Other 6 5%
Unknown 17 13%
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 14 June 2022.
All research outputs
#4,667,162
of 22,663,969 outputs
Outputs from International Journal of Computer Vision
#201
of 1,125 outputs
Outputs of similar age
#23,467
of 109,028 outputs
Outputs of similar age from International Journal of Computer Vision
#2
of 10 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,125 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 69% 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 109,028 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 72% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.