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Exact methods for discrete $${\varGamma }$$-robust interdiction problems with an application to the bilevel knapsack problem

Overview of attention for article published in Mathematical Programming Computation, July 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)

Mentioned by

twitter
3 X users

Citations

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1 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Exact methods for discrete $${\varGamma }$$-robust interdiction problems with an application to the bilevel knapsack problem
Published in
Mathematical Programming Computation, July 2023
DOI 10.1007/s12532-023-00244-6
Authors

Yasmine Beck, Ivana Ljubić, Martin Schmidt

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 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 %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2023.
All research outputs
#14,309,986
of 24,053,881 outputs
Outputs from Mathematical Programming Computation
#48
of 89 outputs
Outputs of similar age
#72,696
of 175,808 outputs
Outputs of similar age from Mathematical Programming Computation
#1
of 1 outputs
Altmetric has tracked 24,053,881 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 89 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 42nd percentile – i.e., 42% 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 175,808 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 1 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