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Genomic Investigation of a Legionellosis Outbreak in a Persistently Colonized Hotel

Overview of attention for article published in Frontiers in Microbiology, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
twitter
9 tweeters

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Genomic Investigation of a Legionellosis Outbreak in a Persistently Colonized Hotel
Published in
Frontiers in Microbiology, January 2016
DOI 10.3389/fmicb.2015.01556
Pubmed ID
Authors

Leonor Sánchez-Busó, Silvia Guiral, Sebastián Crespi, Víctor Moya, María L. Camaró, María P. Olmos, Francisco Adrián, Vicente Morera, Francisco González-Morán, Hermelinda Vanaclocha, Fernando González-Candelas

Abstract

A long-lasting legionellosis outbreak was reported between November 2011 and July 2012 in a hotel in Calpe (Spain) affecting 44 patients including six deaths. Intensive epidemiological and microbiological investigations were performed in order to detect the reservoirs. Clinical and environmental samples were tested for the presence and genetic characterization of Legionella pneumophila. Six of the isolates were subjected to whole-genome sequencing. Sequencing of 14 clinical and 260 environmental samples revealed sequence type (ST) 23 as the main responsible strain for the infections. This ST was found in the spa pool, from where it spread to other hotel public spaces, explaining the ST23 clinical cases, including guests who had not visited the spa. Uncultured clinical specimens showed profiles compatible with ST23, ST578, and mixed patterns. Profiles compatible with ST578 were obtained by direct sequencing from biofilm samples collected from the domestic water system, which provided evidence for the source of infection for non ST23 patients. Whole genome data from five ST23 strains and the identification of different STs and Legionella species showed that different hotel premises were likely colonized since the hotel opening thus explaining how different patients had been infected by distinct STs. Both epidemiological and molecular data are essential in the investigation of legionellosis outbreaks. Whole-genome sequencing data revealed significant intra-ST variability and allowed to make further inference on the short-term evolution of a local colonization of L. pneumophila.

Twitter Demographics

The data shown below were collected from the profiles of 9 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 27%
Student > Ph. D. Student 6 20%
Researcher 5 17%
Professor 3 10%
Professor > Associate Professor 2 7%
Other 6 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 23%
Medicine and Dentistry 7 23%
Immunology and Microbiology 5 17%
Environmental Science 2 7%
Business, Management and Accounting 1 3%
Other 5 17%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 December 2019.
All research outputs
#1,215,843
of 14,088,628 outputs
Outputs from Frontiers in Microbiology
#908
of 12,003 outputs
Outputs of similar age
#37,008
of 364,615 outputs
Outputs of similar age from Frontiers in Microbiology
#35
of 620 outputs
Altmetric has tracked 14,088,628 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,003 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done particularly well, scoring higher than 92% 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 364,615 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 620 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 94% of its contemporaries.