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A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization

Overview of attention for article published in Mathematical Programming, February 2003
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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)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
1 X user
patent
18 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
482 Dimensions

Readers on

mendeley
244 Mendeley
citeulike
1 CiteULike
Title
A nonlinear programming algorithm for solving semidefinite programs via low-rank factorization
Published in
Mathematical Programming, February 2003
DOI 10.1007/s10107-002-0352-8
Authors

Samuel Burer, Renato D.C. Monteiro

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 244 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 6%
Switzerland 1 <1%
Italy 1 <1%
Sweden 1 <1%
India 1 <1%
France 1 <1%
Denmark 1 <1%
Belgium 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 220 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 34%
Researcher 38 16%
Student > Doctoral Student 24 10%
Student > Master 21 9%
Professor > Associate Professor 15 6%
Other 37 15%
Unknown 25 10%
Readers by discipline Count As %
Computer Science 79 32%
Mathematics 50 20%
Engineering 47 19%
Physics and Astronomy 15 6%
Chemistry 5 2%
Other 15 6%
Unknown 33 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 January 2023.
All research outputs
#5,144,040
of 25,081,419 outputs
Outputs from Mathematical Programming
#55
of 713 outputs
Outputs of similar age
#15,338
of 140,706 outputs
Outputs of similar age from Mathematical Programming
#1
of 5 outputs
Altmetric has tracked 25,081,419 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 713 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 92% 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 140,706 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 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them