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The induction and identification of novel Colistin resistance mutations in Acinetobacter baumannii and their implications

Overview of attention for article published in Scientific Reports, June 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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4 news outlets
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2 X users

Citations

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90 Dimensions

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146 Mendeley
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Title
The induction and identification of novel Colistin resistance mutations in Acinetobacter baumannii and their implications
Published in
Scientific Reports, June 2016
DOI 10.1038/srep28291
Pubmed ID
Authors

Nguyen Thi Khanh Nhu, David W. Riordan, Tran Do Hoang Nhu, Duy Pham Thanh, Guy Thwaites, Nguyen Phu Huong Lan, Brendan W. Wren, Stephen Baker, Richard A Stabler

Abstract

Acinetobacter baumannii is a significant cause of opportunistic hospital acquired infection and has been identified as an important emerging infection due to its high levels of antimicrobial resistance. Multidrug resistant A. baumannii has risen rapidly in Vietnam, where colistin is becoming the drug of last resort for many infections. In this study we generated spontaneous colistin resistant progeny (up to >256 μg/μl) from four colistin susceptible Vietnamese isolates and one susceptible reference strain (MIC <1.5 μg/μl). Whole genome sequencing was used to identify single nucleotide mutations that could be attributed to the reduced colistin susceptibility. We identified six lpxACD and three pmrB mutations, the majority of which were novel. In addition, we identified further mutations in six A. baumannii genes (vacJ, pldA, ttg2C, pheS and conserved hypothetical protein) that we hypothesise have a role in reduced colistin susceptibility. This study has identified additional mutations that may be associated with colistin resistance through novel resistance mechanisms. Our work further demonstrates how rapidly A. baumannii can generate resistance to a last resort antimicrobial and highlights the need for improved surveillance to identified A. baumannii with an extensive drug resistance profile.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 <1%
Unknown 145 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 17%
Student > Master 22 15%
Researcher 14 10%
Student > Bachelor 12 8%
Student > Doctoral Student 9 6%
Other 25 17%
Unknown 39 27%
Readers by discipline Count As %
Immunology and Microbiology 26 18%
Biochemistry, Genetics and Molecular Biology 26 18%
Agricultural and Biological Sciences 21 14%
Medicine and Dentistry 12 8%
Unspecified 7 5%
Other 12 8%
Unknown 42 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 04 May 2018.
All research outputs
#1,142,335
of 23,652,325 outputs
Outputs from Scientific Reports
#11,430
of 127,697 outputs
Outputs of similar age
#22,725
of 355,255 outputs
Outputs of similar age from Scientific Reports
#344
of 3,635 outputs
Altmetric has tracked 23,652,325 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 127,697 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.4. This one has done particularly well, scoring higher than 91% 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 355,255 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 93% of its contemporaries.
We're also able to compare this research output to 3,635 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 90% of its contemporaries.