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Rank-Two Relaxation Heuristics for MAX-CUT and Other Binary Quadratic Programs

Overview of attention for article published in SIAM Journal on Optimization, July 2006
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
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Article details
Title
Rank-Two Relaxation Heuristics for MAX-CUT and Other Binary Quadratic Programs
Published in
SIAM Journal on Optimization, July 2006
DOI 10.1137/s1052623400382467
Authors

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Timeline Attention over time Attention Score history
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Activity
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 2%
Japan 1 2%
Italy 1 2%
Hong Kong 1 2%
France 1 2%
Unknown 37 88%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 40%
Researcher 7 17%
Student > Doctoral Student 3 7%
Professor > Associate Professor 3 7%
Student > Bachelor 2 5%
Other 6 14%
Unknown 4 10%
Readers by discipline
Readers by discipline Count As %
Computer Science 14 33%
Mathematics 8 19%
Engineering 5 12%
Business, Management and Accounting 3 7%
Physics and Astronomy 3 7%
Other 1 2%
Unknown 8 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 22 April 2022.
All research outputs
#10,045,128
of 31,078,525 outputs
Outputs from SIAM Journal on Optimization
#94
of 647 outputs
Outputs of similar age
#40,747
of 111,564 outputs
Outputs of similar age from SIAM Journal on Optimization
#38
of 113 outputs
Altmetric has tracked 31,078,525 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 647 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 84% 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 111,564 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 63% of its contemporaries.
We're also able to compare this research output to 113 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 65% of its contemporaries.