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PFA toolbox: a MATLAB tool for Metabolic Flux Analysis

Overview of attention for article published in BMC Systems Biology, January 2016
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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4 tweeters

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43 Mendeley
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Title
PFA toolbox: a MATLAB tool for Metabolic Flux Analysis
Published in
BMC Systems Biology, January 2016
DOI 10.1186/s12918-016-0284-1
Pubmed ID
Authors

Yeimy Morales, Gabriel Bosque, Josep Vehí, Jesús Picó, Francisco Llaneras, Morales, Yeimy, Gabriel Bosque Chacón, Josep Vehi, Jesús Andrés Picó Marco

Abstract

Metabolic Flux Analysis (MFA) is a methodology that has been successfully applied to estimate metabolic fluxes in living cells. However, traditional frameworks based on this approach have some limitations, particularly when measurements are scarce and imprecise. This is very common in industrial environments. The PFA Toolbox can be used to face those scenarios. Here we present the PFA (Possibilistic Flux Analysis) Toolbox for MATLAB, which simplifies the use of Interval and Possibilistic Metabolic Flux Analysis. The main features of the PFA Toolbox are the following: (a) It provides reliable MFA estimations in scenarios where only a few fluxes can be measured or those available are imprecise. (b) It provides tools to easily plot the results as interval estimates or flux distributions. (c) It is composed of simple functions that MATLAB users can apply in flexible ways. (d) It includes a Graphical User Interface (GUI), which provides a visual representation of the measurements and their uncertainty. (e) It can use stoichiometric models in COBRA format. In addition, the PFA Toolbox includes a User's Guide with a thorough description of its functions and several examples. The PFA Toolbox for MATLAB is a freely available Toolbox that is able to perform Interval and Possibilistic MFA estimations.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 5%
Sweden 1 2%
Singapore 1 2%
Unknown 39 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 33%
Researcher 8 19%
Student > Doctoral Student 5 12%
Student > Bachelor 4 9%
Student > Master 3 7%
Other 8 19%
Unknown 1 2%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 30%
Engineering 8 19%
Chemical Engineering 7 16%
Agricultural and Biological Sciences 4 9%
Computer Science 2 5%
Other 7 16%
Unknown 2 5%

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 18 April 2017.
All research outputs
#3,972,760
of 13,670,561 outputs
Outputs from BMC Systems Biology
#263
of 1,078 outputs
Outputs of similar age
#81,847
of 258,180 outputs
Outputs of similar age from BMC Systems Biology
#4
of 16 outputs
Altmetric has tracked 13,670,561 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 1,078 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 74% 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 258,180 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 67% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.