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Metabolic Flux Analysis

Overview of attention for book
Cover of 'Metabolic Flux Analysis'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Stoichiometric Modelling of Microbial Metabolism
  3. Altmetric Badge
    Chapter 2 Tapping the wealth of microbial data in high-throughput metabolic model reconstruction.
  4. Altmetric Badge
    Chapter 3 Constraining the Flux Space Using Thermodynamics and Integration of Metabolomics Data
  5. Altmetric Badge
    Chapter 4 NExT : Integration of Thermodynamic Constraints and Metabolomics Data into a Metabolic Network
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    Chapter 5 Customization of 13C-MFA Strategy According to Cell Culture System
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    Chapter 6 Quantitative Metabolomics Using ID-MS
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    Chapter 7 Determining the biomass composition of a sponge holobiont for flux analysis.
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    Chapter 8 Successful Downsizing for High-Throughput (13)C-MFA Applications.
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    Chapter 9 Labelling Analysis for 13 C MFA Using NMR Spectroscopy
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    Chapter 10 GC-MS-Based 13 C Metabolic Flux Analysis
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    Chapter 11 Dynamic Analysis of CO 2 Labeling and Cell Respiration Using Membrane-Inlet Mass Spectrometry
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    Chapter 12 Correction of MS Data for Naturally Occurring Isotopes in Isotope Labelling Experiments
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    Chapter 13 Steady-State 13C Fluxomics Using OpenFLUX
  15. Altmetric Badge
    Chapter 14 Flux Visualization Using VANTED/FluxMap
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    Chapter 15 Metabolic Flux Analysis for Escherichia coli by Flux Balance Analysis
  17. Altmetric Badge
    Chapter 16 13 C-Metabolic Flux Analysis for Escherichia coli
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    Chapter 17 (13)C-Based Metabolic Flux Analysis of Recombinant Pichia pastoris.
Attention for Chapter 2: Tapping the wealth of microbial data in high-throughput metabolic model reconstruction.
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Chapter title
Tapping the wealth of microbial data in high-throughput metabolic model reconstruction.
Chapter number 2
Book title
Metabolic Flux Analysis
Published in
Methods in molecular biology, January 2014
DOI 10.1007/978-1-4939-1170-7_2
Pubmed ID
Book ISBNs
978-1-4939-1169-1, 978-1-4939-1170-7
Authors

Colasanti R, Edirisinghe JN, Khazaei T, Faria JP, Seaver S, Xia F, Henry C, Ric Colasanti, Janaka N. Edirisinghe, Tahmineh Khazaei, José P. Faria, Sam Seaver, Fangfang Xia, Christopher Henry

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

Geographical breakdown

Country Count As %
Germany 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 25%
Student > Ph. D. Student 2 17%
Other 1 8%
Professor 1 8%
Student > Master 1 8%
Other 1 8%
Unknown 3 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 33%
Agricultural and Biological Sciences 3 25%
Chemical Engineering 1 8%
Unknown 4 33%
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 2015.
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#20,271,607
of 22,803,211 outputs
Outputs from Methods in molecular biology
#9,905
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Outputs of similar age
#264,977
of 305,441 outputs
Outputs of similar age from Methods in molecular biology
#405
of 597 outputs
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We're also able to compare this research output to 597 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.