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Bilevel Optimization

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Overall attention for this book and its chapters
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  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
Bilevel Optimization
Published by
arXiv, January 2020
DOI 10.1007/978-3-030-52119-6
ISBNs
978-3-03-052118-9, 978-3-03-052119-6
Authors

Suresh Bolusani, Stefano Coniglio, Ted. K. Ralphs Sahar Tahernejad

Editors

Stephan Dempe, Alain Zemkoho

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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 20 April 2021.
All research outputs
#14,245,067
of 23,270,775 outputs
Outputs from arXiv
#258,578
of 958,494 outputs
Outputs of similar age
#237,827
of 457,923 outputs
Outputs of similar age from arXiv
#8,280
of 27,853 outputs
Altmetric has tracked 23,270,775 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 958,494 research outputs from this source. They receive a mean Attention Score of 3.9. This one has gotten more attention than average, scoring higher than 70% 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 457,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27,853 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.