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Digital Twins

Overview of attention for book
Attention for Chapter 136: Digital Twins and Their Role in Model-Assisted Design of Experiments
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About this Attention Score

  • Among the highest-scoring outputs from this source (#48 of 238)
  • Above-average Attention Score compared to outputs of the same age (63rd percentile)

Mentioned by

twitter
6 X users

Citations

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31 Dimensions

Readers on

mendeley
34 Mendeley
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Chapter title
Digital Twins and Their Role in Model-Assisted Design of Experiments
Chapter number 136
Book title
Digital Twins
Published in
Advances in biochemical engineering biotechnology, August 2020
DOI 10.1007/10_2020_136
Pubmed ID
Book ISBNs
978-3-03-071655-4, 978-3-03-071656-1
Authors

Kuchemüller, Kim B., Pörtner, Ralf, Möller, Johannes

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 15%
Researcher 4 12%
Other 2 6%
Student > Doctoral Student 1 3%
Student > Bachelor 1 3%
Other 4 12%
Unknown 17 50%
Readers by discipline Count As %
Chemical Engineering 4 12%
Engineering 4 12%
Biochemistry, Genetics and Molecular Biology 2 6%
Agricultural and Biological Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 5 15%
Unknown 16 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 08 September 2024.
All research outputs
#7,729,468
of 26,591,059 outputs
Outputs from Advances in biochemical engineering biotechnology
#48
of 238 outputs
Outputs of similar age
#156,333
of 428,368 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#1
of 2 outputs
Altmetric has tracked 26,591,059 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 238 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has done well, scoring higher than 79% 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 428,368 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 63% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them