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The pSG5-based thermosensitive vector family for genome editing and gene expression in actinomycetes

Overview of attention for article published in Applied Microbiology and Biotechnology, September 2018
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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 (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

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13 X users

Citations

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18 Dimensions

Readers on

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45 Mendeley
Title
The pSG5-based thermosensitive vector family for genome editing and gene expression in actinomycetes
Published in
Applied Microbiology and Biotechnology, September 2018
DOI 10.1007/s00253-018-9334-5
Pubmed ID
Authors

Günther Muth

Abstract

Actinomycetes are the most important producers of secondary metabolites for medical, agricultural and industrial applications. Efficient engineering of bacterial genomes to improve their biosynthetic capabilities largely depends on the available arsenal of tools and vectors. One of the most widely used vector systems for actinomycetes is derived from the Streptomyces ghanaensis DSM2932 plasmid pSG5. pSG5 is a broad host range multicopy plasmid replicating via a rolling circle mechanism. The unique feature of pSG5, which distinguishes it from other Streptomyces plasmids, is its naturally thermosensitive mode of replication. This allows the efficient elimination of the plasmid from its host by simply shifting the incubation temperature to non-permissive 37-39 °C. This property makes pSG5 derivatives ideal facultative suicide vectors required for selection of gene disruption/gene replacement, transposon delivery or CRISPR/Cas9-mediated genome editing. Whereas these techniques depend on the fast elimination of the vector, stably replicating expression vectors for the production of recombinant proteins have been constructed more recently. This mini-review describes the generation and application of the pSG5 vector family, highlighting the specific features of the distinct vector plasmids.

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 16%
Student > Master 7 16%
Student > Ph. D. Student 6 13%
Student > Bachelor 4 9%
Student > Doctoral Student 2 4%
Other 3 7%
Unknown 16 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 33%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 3 7%
Sports and Recreations 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 6 13%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 September 2018.
All research outputs
#4,931,650
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#1,169
of 8,034 outputs
Outputs of similar age
#91,683
of 339,637 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#22
of 129 outputs
Altmetric has tracked 24,119,703 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,034 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 85% 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 339,637 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 129 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.