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Microbial Metabolic Engineering

Overview of attention for book
Cover of 'Microbial Metabolic Engineering'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Screening for Cellulases with Industrial Value and Their Use in Biomass Conversion
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    Chapter 2 Reversal of NAD(P)H Cofactor Dependence by Protein Engineering
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    Chapter 3 Quantifying plasmid copy number to investigate plasmid dosage effects associated with directed protein evolution.
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    Chapter 4 High Isoprenoid Flux Escherichia coli as a Host for Carotenoids Production
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    Chapter 5 Mutagenic Inverted Repeats Assisted Genome Engineering (MIRAGE) in Saccharomyces cerevisiae: Deletion of gal7.
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    Chapter 6 Creation of New Metabolic Pathways or Improvement of Existing Metabolic Enzymes by In Vivo Evolution in Escherichia coli.
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    Chapter 7 Bioluminescent Reporter Genes for Promoter Discovery
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    Chapter 8 Recombination-Based DNA Assembly and Mutagenesis Methods for Metabolic Engineering
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    Chapter 9 Microbial Metabolic Engineering
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    Chapter 10 Use of Proteomic Tools in Microbial Engineering for Biofuel Production
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    Chapter 11 Metabolic Engineering of Antibiotic-Producing Actinomycetes Using In Vitro Transposon Mutagenesis
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    Chapter 12 Use FACS Sorting in Metabolic Engineering of Escherichia coli for Increased Peptide Production.
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    Chapter 13 Using Flux Balance Analysis to Guide Microbial Metabolic Engineering
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    Chapter 14 Using an Advanced Microfermentor System for Strain Screening and Fermentation Optimization
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    Chapter 15 Rapid Strain Evaluation Using Dynamic DO-Stat Fed-Batch Fermentation Under Scale-Down Conditions
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    Chapter 16 Preparation and Evaluation of Lignocellulosic Biomass Hydrolysates for Growth by Ethanologenic Yeasts
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    Chapter 17 Engineering Whole-Cell Biosensors with No Antibiotic Markers for Monitoring Aromatic Compounds in the Environment
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    Chapter 18 Metabolic Engineering for Acetate Control in Large Scale Fermentation
  20. Altmetric Badge
    Chapter 19 Minimization and Prevention of Phage Infections in Bioprocesses
Attention for Chapter 8: Recombination-Based DNA Assembly and Mutagenesis Methods for Metabolic Engineering
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

Mentioned by

patent
2 patents

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
47 Mendeley
citeulike
1 CiteULike
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Chapter title
Recombination-Based DNA Assembly and Mutagenesis Methods for Metabolic Engineering
Chapter number 8
Book title
Microbial Metabolic Engineering
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-483-4_8
Pubmed ID
Book ISBNs
978-1-61779-482-7, 978-1-61779-483-4
Authors

Xiquan Liang, Lansha Peng, Billyana Tsvetanova, Ke Li, Jian-Ping Yang, Tony Ho, Josh Shirley, Liewei Xu, Jason Potter, Wieslaw Kudlicki, Todd Peterson, Federico Katzen, Liang, Xiquan, Peng, Lansha, Tsvetanova, Billyana, Li, Ke, Yang, Jian-Ping, Ho, Tony, Shirley, Josh, Xu, Liewei, Potter, Jason, Kudlicki, Wieslaw, Peterson, Todd, Katzen, Federico

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 4%
United States 1 2%
Unknown 44 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 30%
Researcher 12 26%
Professor 5 11%
Student > Master 4 9%
Other 2 4%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 40%
Engineering 6 13%
Biochemistry, Genetics and Molecular Biology 5 11%
Physics and Astronomy 4 9%
Materials Science 3 6%
Other 3 6%
Unknown 7 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 13 November 2014.
All research outputs
#7,550,194
of 23,035,022 outputs
Outputs from Methods in molecular biology
#2,340
of 13,191 outputs
Outputs of similar age
#71,351
of 245,500 outputs
Outputs of similar age from Methods in molecular biology
#139
of 477 outputs
Altmetric has tracked 23,035,022 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,191 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 76% 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 245,500 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 477 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.