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Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization

Overview of attention for article published in IEEE Transactions on Automatic Control, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Complexity Is an Effective Observable to Tune Early Stopping in Scenario Optimization
Published in
IEEE Transactions on Automatic Control, February 2022
DOI 10.1109/tac.2022.3153888
Authors

Simone Garatti, Algo Car, Marco Claudio Campi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Lecturer 1 17%
Lecturer > Senior Lecturer 1 17%
Student > Master 1 17%
Unknown 1 17%
Readers by discipline Count As %
Engineering 3 50%
Arts and Humanities 1 17%
Unknown 2 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 July 2019.
All research outputs
#8,541,797
of 25,392,582 outputs
Outputs from IEEE Transactions on Automatic Control
#197
of 1,514 outputs
Outputs of similar age
#171,000
of 451,137 outputs
Outputs of similar age from IEEE Transactions on Automatic Control
#2
of 20 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,514 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 35th percentile – i.e., 35% 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 451,137 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 59% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.