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A comparison of dense transposon insertion libraries in the Salmonella serovars Typhi and Typhimurium

Overview of attention for article published in Nucleic Acids Research, March 2013
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  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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1 policy source
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4 X users
peer_reviews
1 peer review site

Readers on

mendeley
176 Mendeley
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2 CiteULike
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Article details
Title
A comparison of dense transposon insertion libraries in the Salmonella serovars Typhi and Typhimurium
Published in
Nucleic Acids Research, March 2013
DOI 10.1093/nar/gkt148
Pubmed ID
Authors
Abstract

Salmonella Typhi and Typhimurium diverged only ∼50 000 years ago, yet have very different host ranges and pathogenicity. Despite the availability of multiple whole-genome sequences, the genetic differences that have driven these changes in phenotype are only beginning to be understood. In this study, we use transposon-directed insertion-site sequencing to probe differences in gene requirements for competitive growth in rich media between these two closely related serovars. We identify a conserved core of 281 genes that are required for growth in both serovars, 228 of which are essential in Escherichia coli. We are able to identify active prophage elements through the requirement for their repressors. We also find distinct differences in requirements for genes involved in cell surface structure biogenesis and iron utilization. Finally, we demonstrate that transposon-directed insertion-site sequencing is not only applicable to the protein-coding content of the cell but also has sufficient resolution to generate hypotheses regarding the functions of non-coding RNAs (ncRNAs) as well. We are able to assign probable functions to a number of cis-regulatory ncRNA elements, as well as to infer likely differences in trans-acting ncRNA regulatory networks.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 176 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 2 1%
United States 1 <1%
Poland 1 <1%
New Zealand 1 <1%
Mexico 1 <1%
Canada 1 <1%
Belgium 1 <1%
Unknown 168 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 52 30%
Researcher 30 17%
Student > Bachelor 16 9%
Student > Master 16 9%
Student > Doctoral Student 9 5%
Other 21 12%
Unknown 32 18%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 59 34%
Biochemistry, Genetics and Molecular Biology 46 26%
Immunology and Microbiology 19 11%
Medicine and Dentistry 7 4%
Chemistry 3 2%
Other 8 5%
Unknown 34 19%
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 10 June 2021.
All research outputs
#7,336,887
of 33,779,198 outputs
Outputs from Nucleic Acids Research
#12,080
of 33,196 outputs
Outputs of similar age
#54,022
of 239,297 outputs
Outputs of similar age from Nucleic Acids Research
#85
of 222 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 33,196 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has gotten more attention than average, scoring higher than 52% 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 239,297 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 73% of its contemporaries.
We're also able to compare this research output to 222 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 59% of its contemporaries.