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Synthetic Biology – Metabolic Engineering

Overview of attention for book
Cover of 'Synthetic Biology – Metabolic Engineering'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 2 Synergizing 13C Metabolic Flux Analysis and Metabolic Engineering for Biochemical Production
  3. Altmetric Badge
    Chapter 3 Synthetic Biology of Polyhydroxyalkanoates (PHA)
  4. Altmetric Badge
    Chapter 8 Promoter and Terminator Discovery and Engineering
  5. Altmetric Badge
    Chapter 9 Engineering Biomolecular Switches for Dynamic Metabolic Control
  6. Altmetric Badge
    Chapter 12 Pathway Design, Engineering, and Optimization
  7. Altmetric Badge
    Chapter 13 Synthetic Biology for Cell-Free Biosynthesis: Fundamentals of Designing Novel In Vitro Multi-Enzyme Reaction Networks
  8. Altmetric Badge
    Chapter 14 Xenobiology: State-of-the-Art, Ethics, and Philosophy of New-to-Nature Organisms
  9. Altmetric Badge
    Chapter 21 Corynebacterium glutamicum for Sustainable Bioproduction: From Metabolic Physiology to Systems Metabolic Engineering
  10. Altmetric Badge
    Chapter 22 Engineering and Evolution of Saccharomyces cerevisiae to Produce Biofuels and Chemicals
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    Chapter 37 Orthogonal Protein Translation Using Pyrrolysyl-tRNA Synthetases for Single- and Multiple-Noncanonical Amino Acid Mutagenesis
Attention for Chapter 12: Pathway Design, Engineering, and Optimization
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Citations

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Chapter title
Pathway Design, Engineering, and Optimization
Chapter number 12
Book title
Synthetic Biology – Metabolic Engineering
Published in
Advances in biochemical engineering biotechnology, September 2016
DOI 10.1007/10_2016_12
Pubmed ID
27629378
Book ISBNs
978-3-31-955317-7, 978-3-31-955318-4
Authors

Garcia-Ruiz, Eva, HamediRad, Mohammad, Zhao, Huimin, Eva Garcia-Ruiz, Mohammad HamediRad, Huimin Zhao

Abstract

The microbial metabolic versatility found in nature has inspired scientists to create microorganisms capable of producing value-added compounds. Many endeavors have been made to transfer and/or combine pathways, existing or even engineered enzymes with new function to tractable microorganisms to generate new metabolic routes for drug, biofuel, and specialty chemical production. However, the success of these pathways can be impeded by different complications from an inherent failure of the pathway to cell perturbations. Pursuing ways to overcome these shortcomings, a wide variety of strategies have been developed. This chapter will review the computational algorithms and experimental tools used to design efficient metabolic routes, and construct and optimize biochemical pathways to produce chemicals of high interest.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 19%
Other 4 9%
Student > Ph. D. Student 4 9%
Student > Master 4 9%
Student > Bachelor 2 5%
Other 4 9%
Unknown 17 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 28%
Agricultural and Biological Sciences 6 14%
Engineering 3 7%
Environmental Science 2 5%
Chemistry 1 2%
Other 1 2%
Unknown 18 42%
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 18 April 2018.
All research outputs
#17,816,222
of 22,888,307 outputs
Outputs from Advances in biochemical engineering biotechnology
#142
of 225 outputs
Outputs of similar age
#211,843
of 294,932 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#2
of 3 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 34th percentile – i.e., 34% 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 294,932 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.

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