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On a Computationally Ill-Behaved Bilevel Problem with a Continuous and Nonconvex Lower Level

Overview of attention for article published in Journal of Optimization Theory and Applications, May 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#39 of 616)
  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
2 Mendeley
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Title
On a Computationally Ill-Behaved Bilevel Problem with a Continuous and Nonconvex Lower Level
Published in
Journal of Optimization Theory and Applications, May 2023
DOI 10.1007/s10957-023-02238-9
Authors

Yasmine Beck, Daniel Bienstock, Martin Schmidt, Johannes Thürauf

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 50%
Student > Bachelor 1 50%
Readers by discipline Count As %
Unspecified 1 50%
Mathematics 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 30 August 2023.
All research outputs
#7,825,526
of 23,873,054 outputs
Outputs from Journal of Optimization Theory and Applications
#39
of 616 outputs
Outputs of similar age
#83,711
of 250,928 outputs
Outputs of similar age from Journal of Optimization Theory and Applications
#2
of 24 outputs
Altmetric has tracked 23,873,054 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 616 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 93% of its peers.
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 250,928 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 66% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.