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Synthetic Biology

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Attention for Chapter: A Rapid Combinatorial Approach to Assembling Synthetic Prokaryotic and Eukaryotic Protein Expression Vectors
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Chapter title
A Rapid Combinatorial Approach to Assembling Synthetic Prokaryotic and Eukaryotic Protein Expression Vectors
Book title
Synthetic Biology
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7795-6_27
Pubmed ID
Book ISBNs
978-1-4939-7794-9, 978-1-4939-7795-6
Authors

Rebecca Mullinax, Sarah E. Johns, Denise Rhodes, Vivian Zhang, Nancy McKinney, Katherine A. Felts, Carsten P. Carstens, Peter Sheffield

Abstract

Vector construction and gene cloning are ubiquitous techniques essential to all fields of biological and medical research. They are the first steps in many endeavors leading to expressing proteins to understand gene function and regulation. However, they can often be rate-limiting, particularly in multi-gene studies, due to the time and effort required to assemble gene constructs and to identify the optimal constructs for protein expression.The SureVector system was developed to address this by enabling the rapid and reliable assembly of multiple DNA modules into a recombinant plasmid containing a gene-of-interest (GOI). It harnesses the power of synthetic biology to combine DNA modules from standard parts into a customized vector that expresses proteins in bacterial, mammalian, or yeast cells. The key advantages of the innovative SureVector system include rapid custom vector generation, enhanced flexibility to assemble new vectors quickly as experimental requirements change, and the reliable and precise assembly of fully interchangeable standard DNA modules that retain their functionality. The SureVector system is the only next-generation plasmid assembly technology to guarantee assembly of multiple functional DNA modules.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 29%
Student > Bachelor 1 14%
Lecturer > Senior Lecturer 1 14%
Researcher 1 14%
Unknown 2 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 57%
Agricultural and Biological Sciences 1 14%
Unknown 2 29%
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 14 May 2018.
All research outputs
#20,490,417
of 23,053,169 outputs
Outputs from Methods in molecular biology
#9,973
of 13,196 outputs
Outputs of similar age
#378,304
of 442,459 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,053,169 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 13,196 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 442,459 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 1,499 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.