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Computational Methods in Synthetic Biology

Overview of attention for book
Cover of 'Computational Methods in Synthetic Biology'

Table of Contents

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    Book Overview
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    Chapter 1 Computational protein design methods for synthetic biology.
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    Chapter 2 Computer-aided design of DNA origami structures.
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    Chapter 3 Computational design of RNA parts, devices, and transcripts with kinetic folding algorithms implemented on multiprocessor clusters.
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    Chapter 4 Regulatory RNA design through evolutionary computation and strand displacement.
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    Chapter 5 Programming Languages for Circuit Design
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    Chapter 6 Kappa Rule-Based Modeling in Synthetic Biology
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    Chapter 7 Modular Design of Synthetic Gene Circuits with Biological Parts and Pools
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    Chapter 8 Computationally Guided Design of Robust Gene Circuits
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    Chapter 9 Chemical Master Equation Closure for Computer-Aided Synthetic Biology
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    Chapter 10 Feedback loops in biological networks.
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    Chapter 11 Efficient Analysis Methods in Synthetic Biology
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    Chapter 12 Using computational modeling and experimental synthetic perturbations to probe biological circuits.
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    Chapter 13 In silico control of biomolecular processes.
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    Chapter 14 Stochastic modular analysis for gene circuits: interplay among retroactivity, nonlinearity, and stochasticity.
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    Chapter 15 Distributed Model Construction with Virtual Parts
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    Chapter 16 The synthetic biology open language.
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    Chapter 17 Computational Methods for the Construction, Editing, and Error Correction of DNA Molecules and Their Libraries
Attention for Chapter 16: The synthetic biology open language.
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Chapter title
The synthetic biology open language.
Chapter number 16
Book title
Computational Methods in Synthetic Biology
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1878-2_16
Pubmed ID
Book ISBNs
978-1-4939-1877-5, 978-1-4939-1878-2
Authors

Myers C, Clancy K, Misirli G, Oberortner E, Pocock M, Quinn J, Roehner N, Sauro HM, Chris Myers, Kevin Clancy, Goksel Misirli, Ernst Oberortner, Matthew Pocock, Jacqueline Quinn, Nicholas Roehner, Herbert M. Sauro, Myers, Chris, Clancy, Kevin, Misirli, Goksel, Oberortner, Ernst, Pocock, Matthew, Quinn, Jacqueline, Roehner, Nicholas, Sauro, Herbert M.

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

Geographical breakdown

Country Count As %
United States 2 11%
Unknown 16 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Researcher 5 28%
Professor > Associate Professor 3 17%
Student > Bachelor 2 11%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Agricultural and Biological Sciences 5 28%
Arts and Humanities 1 6%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Other 2 11%
Unknown 3 17%
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 21 August 2015.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from Methods in molecular biology
#9,915
of 13,124 outputs
Outputs of similar age
#295,840
of 353,125 outputs
Outputs of similar age from Methods in molecular biology
#636
of 997 outputs
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So far Altmetric has tracked 13,124 research outputs from this source. They receive a mean Attention Score of 3.4. 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 353,125 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 997 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.