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Efficient separation of RLT cuts for implicit and explicit bilinear terms

Overview of attention for article published in Mathematical Programming, July 2024
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Title
Efficient separation of RLT cuts for implicit and explicit bilinear terms
Published in
Mathematical Programming, July 2024
DOI 10.1007/s10107-024-02104-0
Authors

Ksenia Bestuzheva, Ambros Gleixner, Tobias Achterberg

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Mathematics 1 100%
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 28 November 2022.
All research outputs
#23,687,666
of 26,369,011 outputs
Outputs from Mathematical Programming
#712
of 805 outputs
Outputs of similar age
#133,557
of 169,608 outputs
Outputs of similar age from Mathematical Programming
#2
of 3 outputs
Altmetric has tracked 26,369,011 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 805 research outputs from this source. They receive a mean Attention Score of 2.8. 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 169,608 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 3 others from the same source and published within six weeks on either side of this one.