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Reverse Genetics of RNA Viruses

Overview of attention for book
Attention for Chapter 5: Efficient Reverse Genetic Systems for Rapid Genetic Manipulation of Emergent and Preemergent Infectious Coronaviruses
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 14,333)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
30 news outlets
blogs
1 blog
twitter
302 X users

Citations

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6 Dimensions

Readers on

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38 Mendeley
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Chapter title
Efficient Reverse Genetic Systems for Rapid Genetic Manipulation of Emergent and Preemergent Infectious Coronaviruses
Chapter number 5
Book title
Reverse Genetics of RNA Viruses
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6964-7_5
Pubmed ID
Book ISBNs
978-1-4939-6962-3, 978-1-4939-6964-7
Authors

Adam S. Cockrell, Anne Beall, Boyd Yount, Ralph Baric, Cockrell, Adam S., Beall, Anne, Yount, Boyd, Baric, Ralph

Editors

Daniel R. Perez

Abstract

Emergent and preemergent coronaviruses (CoVs) pose a global threat that requires immediate intervention. Rapid intervention necessitates the capacity to generate, grow, and genetically manipulate infectious CoVs in order to rapidly evaluate pathogenic mechanisms, host and tissue permissibility, and candidate antiviral therapeutic efficacy. CoVs encode the largest viral RNA genomes at about 28-32,000 nucleotides in length, and thereby complicate efficient engineering of the genome. Deconstructing the genome into manageable fragments affords the plasticity necessary to rapidly introduce targeted genetic changes in parallel and assort mutated fragments while maximizing genome stability over time. In this protocol we describe a well-developed reverse genetic platform strategy for CoVs that is comprised of partitioning the viral genome into 5-7 independent DNA fragments (depending on the CoV genome), each subcloned into a plasmid for increased stability and ease of genetic manipulation and amplification. Coronavirus genomes are conveniently partitioned by introducing type IIS or IIG restriction enzyme recognition sites that confer directional cloning. Since each restriction site leaves a unique overhang between adjoining fragments, reconstruction of the full-length genome can be achieved through a standard DNA ligation comprised of equal molar ratios of each fragment. Using this method, recombinant CoVs can be rapidly generated and used to investigate host range, gene function, pathogenesis, and candidate therapeutics for emerging and preemergent CoVs both in vitro and in vivo.

X Demographics

X Demographics

The data shown below were collected from the profiles of 302 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 29%
Student > Ph. D. Student 7 18%
Student > Bachelor 4 11%
Student > Master 4 11%
Professor > Associate Professor 2 5%
Other 4 11%
Unknown 6 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 26%
Agricultural and Biological Sciences 4 11%
Veterinary Science and Veterinary Medicine 3 8%
Medicine and Dentistry 3 8%
Nursing and Health Professions 2 5%
Other 7 18%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 415. 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 06 March 2024.
All research outputs
#71,654
of 25,718,113 outputs
Outputs from Methods in molecular biology
#8
of 14,333 outputs
Outputs of similar age
#1,685
of 423,861 outputs
Outputs of similar age from Methods in molecular biology
#1
of 1,089 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,333 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 99% 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 423,861 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 1,089 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.