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A competitive study of the pseudoflow algorithm for the minimum s–t cut problem in vision applications

Overview of attention for article published in Journal of Real-Time Image Processing, April 2013
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About this Attention Score

  • Among the highest-scoring outputs from this source (#37 of 129)
  • Average Attention Score compared to outputs of the same age

Mentioned by

patent
1 patent

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
22 Mendeley
Title
A competitive study of the pseudoflow algorithm for the minimum s–t cut problem in vision applications
Published in
Journal of Real-Time Image Processing, April 2013
DOI 10.1007/s11554-013-0344-3
Authors

B. Fishbain, Dorit S. Hochbaum, Stefan Mueller

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 5 23%
Student > Bachelor 3 14%
Professor > Associate Professor 2 9%
Student > Doctoral Student 1 5%
Other 4 18%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 10 45%
Engineering 6 27%
Earth and Planetary Sciences 2 9%
Environmental Science 1 5%
Unknown 3 14%
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 10 September 2013.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from Journal of Real-Time Image Processing
#37
of 129 outputs
Outputs of similar age
#66,646
of 200,396 outputs
Outputs of similar age from Journal of Real-Time Image Processing
#2
of 3 outputs
Altmetric has tracked 23,036,991 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 129 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 32nd percentile – i.e., 32% 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 200,396 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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.