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A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty

Overview of attention for article published in Frontiers in Chemical Engineering, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#4 of 289)
  • High Attention Score compared to outputs of the same age (87th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

blogs
1 blog
twitter
5 X users
patent
1 patent

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
195 Mendeley
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Title
A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty
Published in
Frontiers in Chemical Engineering, January 2021
DOI 10.3389/fceng.2020.622241
Authors

Can Li, Ignacio E. Grossmann

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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 195 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 14%
Student > Master 21 11%
Researcher 18 9%
Student > Doctoral Student 16 8%
Student > Bachelor 15 8%
Other 21 11%
Unknown 76 39%
Readers by discipline Count As %
Engineering 37 19%
Chemical Engineering 23 12%
Computer Science 11 6%
Unspecified 10 5%
Energy 8 4%
Other 24 12%
Unknown 82 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 16 January 2023.
All research outputs
#2,323,710
of 24,286,850 outputs
Outputs from Frontiers in Chemical Engineering
#4
of 289 outputs
Outputs of similar age
#64,900
of 513,964 outputs
Outputs of similar age from Frontiers in Chemical Engineering
#2
of 16 outputs
Altmetric has tracked 24,286,850 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 289 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done particularly well, scoring higher than 98% 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 513,964 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.