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Global optimization of generalized semi-infinite programs using disjunctive programming

Overview of attention for article published in Journal of Global Optimization, July 2018
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Mentioned by

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1 X user

Citations

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3 Dimensions

Readers on

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6 Mendeley
Title
Global optimization of generalized semi-infinite programs using disjunctive programming
Published in
Journal of Global Optimization, July 2018
DOI 10.1007/s10898-018-0690-6
Authors

Peter Kirst, Oliver Stein

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

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Ph. D. Student 1 17%
Researcher 1 17%
Unknown 3 50%
Readers by discipline Count As %
Chemical Engineering 2 33%
Decision Sciences 1 17%
Unknown 3 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 11 January 2019.
All research outputs
#15,557,299
of 23,122,481 outputs
Outputs from Journal of Global Optimization
#136
of 274 outputs
Outputs of similar age
#209,595
of 329,782 outputs
Outputs of similar age from Journal of Global Optimization
#5
of 12 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 21st percentile – i.e., 21% 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 329,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.