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Prediction and Uncertainty Propagation for Completion Time of Batch Processes Based on Data-Driven Modeling

Overview of attention for article published in Industrial & Engineering Chemistry Research, July 2020
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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 (92nd percentile)

Mentioned by

twitter
2 X users
patent
1 patent

Readers on

mendeley
11 Mendeley
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Article details
Title
Prediction and Uncertainty Propagation for Completion Time of Batch Processes Based on Data-Driven Modeling
Published in
Industrial & Engineering Chemistry Research, July 2020
DOI 10.1021/acs.iecr.0c01236
Authors

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Timeline Attention over time Attention Score history
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Activity
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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 2 18%
Researcher 2 18%
Student > Doctoral Student 1 9%
Professor 1 9%
Student > Master 1 9%
Other 0 0%
Unknown 4 36%
Readers by discipline
Readers by discipline Count As %
Chemistry 2 18%
Engineering 2 18%
Chemical Engineering 1 9%
Agricultural and Biological Sciences 1 9%
Energy 1 9%
Other 0 0%
Unknown 4 36%
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 11 July 2023.
All research outputs
#10,722,697
of 32,810,023 outputs
Outputs from Industrial & Engineering Chemistry Research
#2,456
of 19,845 outputs
Outputs of similar age
#176,589
of 448,967 outputs
Outputs of similar age from Industrial & Engineering Chemistry Research
#32
of 494 outputs
Altmetric has tracked 32,810,023 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 19,845 research outputs from this source. They receive a mean Attention Score of 2.2. This one has done well, scoring higher than 86% 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 448,967 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 494 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 92% of its contemporaries.