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Semidefinite relaxations for quadratically constrained quadratic programming: A review and comparisons

Overview of attention for article published in Mathematical Programming, May 2011
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Citations

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Readers on

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68 Mendeley
Title
Semidefinite relaxations for quadratically constrained quadratic programming: A review and comparisons
Published in
Mathematical Programming, May 2011
DOI 10.1007/s10107-011-0462-2
Authors

Xiaowei Bao, Nikolaos V. Sahinidis, Mohit Tawarmalani

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 1%
Japan 1 1%
France 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 47%
Researcher 11 16%
Professor > Associate Professor 5 7%
Professor 3 4%
Lecturer 3 4%
Other 7 10%
Unknown 7 10%
Readers by discipline Count As %
Engineering 21 31%
Mathematics 16 24%
Computer Science 6 9%
Business, Management and Accounting 5 7%
Chemical Engineering 5 7%
Other 5 7%
Unknown 10 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 11 August 2014.
All research outputs
#20,233,547
of 22,759,618 outputs
Outputs from Mathematical Programming
#589
of 678 outputs
Outputs of similar age
#104,216
of 111,932 outputs
Outputs of similar age from Mathematical Programming
#4
of 4 outputs
Altmetric has tracked 22,759,618 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 678 research outputs from this source. They receive a mean Attention Score of 2.9. This one is in the 1st percentile – i.e., 1% 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 111,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.