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The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli

Overview of attention for article published in BMC Bioinformatics, March 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
32 Mendeley
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Title
The effects of model complexity and size on metabolic flux distribution and control: case study in Escherichia coli
Published in
BMC Bioinformatics, March 2021
DOI 10.1186/s12859-021-04066-y
Pubmed ID
Authors

Tuure Hameri, Georgios Fengos, Vassily Hatzimanikatis

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 22%
Student > Ph. D. Student 6 19%
Student > Master 3 9%
Unspecified 2 6%
Student > Doctoral Student 1 3%
Other 2 6%
Unknown 11 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 25%
Computer Science 4 13%
Unspecified 2 6%
Agricultural and Biological Sciences 2 6%
Environmental Science 1 3%
Other 1 3%
Unknown 14 44%
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 26 April 2021.
All research outputs
#7,148,744
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#2,747
of 7,388 outputs
Outputs of similar age
#157,979
of 427,240 outputs
Outputs of similar age from BMC Bioinformatics
#71
of 170 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 7,388 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 61% 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 427,240 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 62% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.