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Synthetic Biology

Overview of attention for book
Cover of 'Synthetic Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 What Is Synthetic Biology?
  3. Altmetric Badge
    Chapter 2 Gene Synthesis Method Based on Overlap Extension PCR and DNAWorks Program
  4. Altmetric Badge
    Chapter 3 BioBrick™ Assembly Using the In-Fusion PCR Cloning Kit
  5. Altmetric Badge
    Chapter 4 Overlap Extension PCR Cloning
  6. Altmetric Badge
    Chapter 5 One-Step Isothermal Assembly of DNA Fragments
  7. Altmetric Badge
    Chapter 6 Creation and Characterization of Component Libraries for Synthetic Biology
  8. Altmetric Badge
    Chapter 7 In Vivo and In Vitro Characterization of σ 70 Constitutive Promoters by Real-Time PCR and Fluorescent Measurements
  9. Altmetric Badge
    Chapter 8 In Vivo Screening of Artificial Small RNAs for Silencing Endogenous Genes in Escherichia coli
  10. Altmetric Badge
    Chapter 9 Construction and Engineering of Large Biochemical Pathways via DNA Assembler
  11. Altmetric Badge
    Chapter 10 Assembly of Multi-gene Pathways and Combinatorial Pathway Libraries Through ePathBrick Vectors
  12. Altmetric Badge
    Chapter 11 Tandem Recombineering by SLIC Cloning and Cre-LoxP Fusion to Generate Multigene Expression Constructs for Protein Complex Research
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    Chapter 12 Combinatorial DNA Assembly Using Golden Gate Cloning
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    Chapter 13 Construction of Synthetic Gene Circuits in the Escherichia coli Genome
  15. Altmetric Badge
    Chapter 14 Shuffling of DNA cassettes in a synthetic integron.
  16. Altmetric Badge
    Chapter 15 Systematic Methodology for the Development of Mathematical Models for Biological Processes
  17. Altmetric Badge
    Chapter 16 SOBOLHDMR: A General-Purpose Modeling Software
Attention for Chapter 15: Systematic Methodology for the Development of Mathematical Models for Biological Processes
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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4 Google+ users

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Chapter title
Systematic Methodology for the Development of Mathematical Models for Biological Processes
Chapter number 15
Book title
Synthetic Biology
Published in
Methods in molecular biology, January 2013
DOI 10.1007/978-1-62703-625-2_15
Pubmed ID
Book ISBNs
978-1-62703-624-5, 978-1-62703-625-2
Authors

Cleo Kontoravdi

Abstract

Synthetic biology gives researchers the opportunity to rationally (re-)design cellular activities to achieve a desired function. The design of networks of pathways towards accomplishing this calls for the application of engineering principles, often using model-based tools. Success heavily depends on model reliability. Herein, we present a systematic methodology for developing predictive models comprising model formulation considerations, global sensitivity analysis, model reduction (for highly complex models or where experimental data are limited), optimal experimental design for parameter estimation, and predictive capability checking. Its efficacy and validity are demonstrated using an example from bioprocessing. This approach systematizes the process of developing reliable mathematical models at a minimum experimental cost, enabling in silico simulation and optimization.

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

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Student > Master 2 14%
Researcher 2 14%
Lecturer > Senior Lecturer 1 7%
Student > Bachelor 1 7%
Other 3 21%
Unknown 1 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 29%
Business, Management and Accounting 3 21%
Computer Science 2 14%
Environmental Science 1 7%
Chemical Engineering 1 7%
Other 2 14%
Unknown 1 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 25 November 2013.
All research outputs
#5,518,744
of 22,721,584 outputs
Outputs from Methods in molecular biology
#1,515
of 13,083 outputs
Outputs of similar age
#57,928
of 280,759 outputs
Outputs of similar age from Methods in molecular biology
#58
of 341 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,083 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 88% 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 280,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 341 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.