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A review of computation of mathematically rigorous bounds on optima of linear programs

Overview of attention for article published in Journal of Global Optimization, December 2016
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1 X user

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4 Mendeley
Title
A review of computation of mathematically rigorous bounds on optima of linear programs
Published in
Journal of Global Optimization, December 2016
DOI 10.1007/s10898-016-0489-2
Authors

Jared T. Guilbeau, Md. Istiaq Hossain, Sam D. Karhbet, Ralph Baker Kearfott, Temitope S. Sanusi, Lihong Zhao

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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 50%
Student > Master 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Design 1 25%
Unknown 2 50%
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 27 December 2016.
All research outputs
#18,504,575
of 22,925,760 outputs
Outputs from Journal of Global Optimization
#222
of 274 outputs
Outputs of similar age
#309,773
of 420,008 outputs
Outputs of similar age from Journal of Global Optimization
#6
of 7 outputs
Altmetric has tracked 22,925,760 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 274 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.