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Within-host microevolution of Pseudomonas aeruginosa in Italian cystic fibrosis patients

Overview of attention for article published in BMC Microbiology, October 2015
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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 (91st percentile)

Mentioned by

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7 tweeters

Citations

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19 Dimensions

Readers on

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81 Mendeley
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Title
Within-host microevolution of Pseudomonas aeruginosa in Italian cystic fibrosis patients
Published in
BMC Microbiology, October 2015
DOI 10.1186/s12866-015-0563-9
Pubmed ID
Authors

Rasmus Lykke Marvig, Daniela Dolce, Lea M. Sommer, Bent Petersen, Oana Ciofu, Silvia Campana, Søren Molin, Giovanni Taccetti, Helle Krogh Johansen

Abstract

Chronic infection with Pseudomonas aeruginosa is a major cause of morbidity and mortality in cystic fibrosis (CF) patients, and a more complete understanding of P. aeruginosa within-host genomic evolution, transmission, and population genomics may provide a basis for improving intervention strategies. Here, we report the first genomic analysis of P. aeruginosa isolates sampled from Italian CF patients. By genome sequencing of 26 isolates sampled over 19 years from four patients, we elucidated the within-host evolution of clonal lineages in each individual patient. Many of the identified mutations were located in pathoadaptive genes previously associated with host adaptation, and we correlated mutations with changes in CF-relevant phenotypes such as antibiotic resistance. In addition, the genomic analysis revealed that three patients shared the same clone. Furthermore, we compared the genomes of the Italian CF isolates to a panel of genome sequenced strains of P. aeruginosa from other countries. Isolates from two of the Italian lineages belonged to clonal complexes of P. aeruginosa that have previously been identified in Danish CF patients, and our genomic comparison showed that clonal isolates from the same country may be more distantly related than clonal isolates from different countries. This is the first whole-genome analysis of P. aeruginosa isolated from Italian CF patients, and together with both phenotypic and clinical information this dataset facilitates a more detailed understanding of P. aeruginosa within-host genomic evolution, transmission, and population genomics. We conclude that the evolution of the Italian lineages resembles what has been found in other countries.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 3 4%
Denmark 1 1%
United States 1 1%
Unknown 76 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 21%
Researcher 14 17%
Student > Master 12 15%
Student > Bachelor 7 9%
Student > Doctoral Student 7 9%
Other 13 16%
Unknown 11 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 30%
Immunology and Microbiology 17 21%
Medicine and Dentistry 9 11%
Biochemistry, Genetics and Molecular Biology 8 10%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 10 12%
Unknown 11 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 June 2016.
All research outputs
#1,821,867
of 7,965,219 outputs
Outputs from BMC Microbiology
#257
of 1,336 outputs
Outputs of similar age
#65,768
of 243,293 outputs
Outputs of similar age from BMC Microbiology
#7
of 83 outputs
Altmetric has tracked 7,965,219 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,336 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 80% 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 243,293 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 83 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 91% of its contemporaries.