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Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction

Overview of attention for article published in Computational Optimization and Applications, April 2023
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About this Attention Score

  • Among the highest-scoring outputs from this source (#21 of 338)
  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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5 X users

Citations

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3 Dimensions

Readers on

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3 Mendeley
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Title
Accelerating stochastic sequential quadratic programming for equality constrained optimization using predictive variance reduction
Published in
Computational Optimization and Applications, April 2023
DOI 10.1007/s10589-023-00483-2
Authors

Albert S. Berahas, Jiahao Shi, Zihong Yi, Baoyu Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Unknown 2 67%
Readers by discipline Count As %
Unknown 3 100%
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 20 April 2023.
All research outputs
#7,203,017
of 23,854,458 outputs
Outputs from Computational Optimization and Applications
#21
of 338 outputs
Outputs of similar age
#116,887
of 378,418 outputs
Outputs of similar age from Computational Optimization and Applications
#1
of 27 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 338 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 378,418 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 69% of its contemporaries.
We're also able to compare this research output to 27 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 96% of its contemporaries.