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Reprogramming Microbial Metabolic Pathways

Overview of attention for book
Cover of 'Reprogramming Microbial Metabolic Pathways'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Synthetic Gene Circuits with Enhancers: Biology's Multi-input Integrators.
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    Chapter 2 Elementary Mode Analysis: A Useful Metabolic Pathway Analysis Tool for Reprograming Microbial Metabolic Pathways
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    Chapter 3 Evolutionary Engineering for Industrial Microbiology
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    Chapter 4 Monitoring microbial diversity of bioreactors using metagenomic approaches.
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    Chapter 5 Synthetic biology triggers new era of antibiotics development.
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    Chapter 6 Cascades and Networks of Regulatory Genes That Control Antibiotic Biosynthesis
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    Chapter 7 Systems analysis of microbial adaptations to simultaneous stresses.
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    Chapter 8 Metabolic Reprogramming Under Microaerobic and Anaerobic Conditions in Bacteria
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    Chapter 9 Tunable promoters in synthetic and systems biology.
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    Chapter 10 Analysis of Corynebacterium glutamicum Promoters and Their Applications
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    Chapter 11 Production of Fumaric Acid by Fermentation
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    Chapter 12 Metabolic Engineering of Microorganisms for Vitamin C Production
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    Chapter 13 Molecular Mechanisms and Metabolic Engineering of Glutamate Overproduction in Corynebacterium glutamicum
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    Chapter 14 Microbial Metabolic Engineering for L-Threonine Production
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    Chapter 15 The Production of Coenzyme Q10 in Microorganisms
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    Chapter 16 Genetic Modification and Bioprocess Optimization for S-Adenosyl-L-methionine Biosynthesis
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    Chapter 17 Manipulation of Ralstonia eutropha Carbon Storage Pathways to Produce Useful Bio-Based Products
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    Chapter 18 Metabolic Engineering of Inducer Formation for Cellulase and Hemicellulase Gene Expression in Trichoderma reesei
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    Chapter 19 Microbiologically produced carboxylic acids used as building blocks in organic synthesis.
Attention for Chapter 18: Metabolic Engineering of Inducer Formation for Cellulase and Hemicellulase Gene Expression in Trichoderma reesei
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Citations

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Chapter title
Metabolic Engineering of Inducer Formation for Cellulase and Hemicellulase Gene Expression in Trichoderma reesei
Chapter number 18
Book title
Reprogramming Microbial Metabolic Pathways
Published in
Sub cellular biochemistry, January 2012
DOI 10.1007/978-94-007-5055-5_18
Pubmed ID
Book ISBNs
978-9-40-075054-8, 978-9-40-075055-5
Authors

Bernhard Seiboth, Silvia Herold, Christian P. Kubicek, Seiboth, Bernhard, Herold, Silvia, Kubicek, Christian P.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 7%
Australia 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 30%
Researcher 6 20%
Student > Doctoral Student 3 10%
Student > Master 2 7%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 37%
Biochemistry, Genetics and Molecular Biology 9 30%
Environmental Science 1 3%
Chemical Engineering 1 3%
Engineering 1 3%
Other 0 0%
Unknown 7 23%
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 11 May 2021.
All research outputs
#20,451,228
of 23,007,053 outputs
Outputs from Sub cellular biochemistry
#304
of 364 outputs
Outputs of similar age
#222,605
of 245,437 outputs
Outputs of similar age from Sub cellular biochemistry
#26
of 28 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 364 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 245,437 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 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.