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Machine Learning, Optimization, and Data Science

Overview of attention for book
Attention for Chapter 61: A Learning-Based Mathematical Programming Formulation for the Automatic Configuration of Optimization Solvers
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About this Attention Score

  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Readers on

mendeley
4 Mendeley
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Chapter title
A Learning-Based Mathematical Programming Formulation for the Automatic Configuration of Optimization Solvers
Chapter number 61
Book title
Machine Learning, Optimization, and Data Science
Published in
arXiv, January 2021
DOI 10.1007/978-3-030-64583-0_61
Book ISBNs
978-3-03-064582-3, 978-3-03-064583-0
Authors

Gabriele Iommazzo, Claudia D’Ambrosio, Antonio Frangioni, Leo Liberti, Iommazzo, Gabriele, D’Ambrosio, Claudia, Frangioni, Antonio, Liberti, Leo, Claudia D'Ambrosio

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Researcher 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 2 50%
Psychology 1 25%
Unknown 1 25%
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 10 January 2024.
All research outputs
#20,456,168
of 25,139,853 outputs
Outputs from arXiv
#574,725
of 1,027,857 outputs
Outputs of similar age
#391,298
of 517,789 outputs
Outputs of similar age from arXiv
#16,585
of 30,544 outputs
Altmetric has tracked 25,139,853 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,027,857 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 27th percentile – i.e., 27% 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 517,789 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 30,544 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.