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Escher-FBA: a web application for interactive flux balance analysis

Overview of attention for article published in BMC Systems Biology, September 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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9 X users

Citations

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41 Dimensions

Readers on

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172 Mendeley
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Title
Escher-FBA: a web application for interactive flux balance analysis
Published in
BMC Systems Biology, September 2018
DOI 10.1186/s12918-018-0607-5
Pubmed ID
Authors

Elliot Rowe, Bernhard O. Palsson, Zachary A. King

Abstract

Flux balance analysis (FBA) is a widely-used method for analyzing metabolic networks. However, most existing tools that implement FBA require downloading software and writing code. Furthermore, FBA generates predictions for metabolic networks with thousands of components, so meaningful changes in FBA solutions can be difficult to identify. These challenges make it difficult for beginners to learn how FBA works. To meet this need, we present Escher-FBA, a web application for interactive FBA simulations within a pathway visualization. Escher-FBA allows users to set flux bounds, knock out reactions, change objective functions, upload metabolic models, and generate high-quality figures without downloading software or writing code. We provide detailed instructions on how to use Escher-FBA to replicate several FBA simulations that generate real scientific hypotheses. We designed Escher-FBA to be as intuitive as possible so that users can quickly and easily understand the core concepts of FBA. The web application can be accessed at https://sbrg.github.io/escher-fba .

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 18%
Researcher 31 18%
Student > Master 20 12%
Student > Bachelor 16 9%
Student > Doctoral Student 8 5%
Other 18 10%
Unknown 48 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 48 28%
Agricultural and Biological Sciences 22 13%
Computer Science 13 8%
Chemical Engineering 10 6%
Engineering 10 6%
Other 13 8%
Unknown 56 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 November 2019.
All research outputs
#5,466,488
of 25,508,813 outputs
Outputs from BMC Systems Biology
#157
of 1,132 outputs
Outputs of similar age
#99,338
of 351,652 outputs
Outputs of similar age from BMC Systems Biology
#3
of 9 outputs
Altmetric has tracked 25,508,813 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,132 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 86% 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 351,652 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 71% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.