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Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation

Overview of attention for article published in Frontiers in Chemical Engineering, May 2023
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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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31 Mendeley
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Title
Hybrid modeling for biopharmaceutical processes: advantages, opportunities, and implementation
Published in
Frontiers in Chemical Engineering, May 2023
DOI 10.3389/fceng.2023.1157889
Authors

Harini Narayanan, Moritz von Stosch, Fabian Feidl, Michael Sokolov, Massimo Morbidelli, Alessandro Butté

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

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 6%
Student > Doctoral Student 2 6%
Other 1 3%
Unknown 16 52%
Readers by discipline Count As %
Chemical Engineering 8 26%
Engineering 3 10%
Biochemistry, Genetics and Molecular Biology 1 3%
Unspecified 1 3%
Computer Science 1 3%
Other 1 3%
Unknown 16 52%
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 15 May 2023.
All research outputs
#19,178,083
of 23,764,938 outputs
Outputs from Frontiers in Chemical Engineering
#128
of 278 outputs
Outputs of similar age
#135,059
of 200,295 outputs
Outputs of similar age from Frontiers in Chemical Engineering
#7
of 8 outputs
Altmetric has tracked 23,764,938 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 278 research outputs from this source. They receive a mean Attention Score of 1.7. This one is in the 1st percentile – i.e., 1% 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 200,295 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.