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The Ability of Flux Balance Analysis to Predict Evolution of Central Metabolism Scales with the Initial Distance to the Optimum

Overview of attention for article published in PLoS Computational Biology, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

blogs
1 blog
twitter
7 X users

Readers on

mendeley
227 Mendeley
citeulike
5 CiteULike
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Article details
Title
The Ability of Flux Balance Analysis to Predict Evolution of Central Metabolism Scales with the Initial Distance to the Optimum
Published in
PLoS Computational Biology, June 2013
DOI 10.1371/journal.pcbi.1003091
Pubmed ID
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 7 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 227 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 %
United States 9 4%
Singapore 1 <1%
Sweden 1 <1%
Russia 1 <1%
Japan 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Brazil 1 <1%
Belgium 1 <1%
Other 0 0%
Unknown 210 93%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 63 28%
Researcher 47 21%
Student > Master 28 12%
Professor > Associate Professor 15 7%
Student > Doctoral Student 13 6%
Other 43 19%
Unknown 18 8%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 103 45%
Biochemistry, Genetics and Molecular Biology 35 15%
Computer Science 16 7%
Engineering 12 5%
Chemical Engineering 6 3%
Other 25 11%
Unknown 30 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 06 August 2024.
All research outputs
#3,497,311
of 28,623,232 outputs
Outputs from PLoS Computational Biology
#2,752
of 9,558 outputs
Outputs of similar age
#27,299
of 216,546 outputs
Outputs of similar age from PLoS Computational Biology
#21
of 101 outputs
Altmetric has tracked 28,623,232 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,558 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.7. This one has gotten more attention than average, scoring higher than 71% 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 216,546 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.