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Global optimization of distillation columns using surrogate models

Overview of attention for article published in SN Applied Sciences, October 2018
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Mentioned by

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1 X user

Citations

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7 Dimensions

Readers on

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17 Mendeley
Title
Global optimization of distillation columns using surrogate models
Published in
SN Applied Sciences, October 2018
DOI 10.1007/s42452-018-0008-9
Pubmed ID
Authors

Tobias Keßler, Christian Kunde, Nick Mertens, Dennis Michaels, Achim Kienle

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Lecturer 1 6%
Student > Bachelor 1 6%
Professor 1 6%
Other 1 6%
Other 4 24%
Unknown 2 12%
Readers by discipline Count As %
Chemical Engineering 10 59%
Engineering 3 18%
Agricultural and Biological Sciences 1 6%
Mathematics 1 6%
Unknown 2 12%
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 18 May 2019.
All research outputs
#18,682,602
of 23,148,322 outputs
Outputs from SN Applied Sciences
#767
of 1,368 outputs
Outputs of similar age
#265,445
of 346,961 outputs
Outputs of similar age from SN Applied Sciences
#11
of 15 outputs
Altmetric has tracked 23,148,322 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,368 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 3rd percentile – i.e., 3% 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 346,961 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 15 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.