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Public health surveillance in the UK revolutionises our understanding of the invasive Salmonella Typhimurium epidemic in Africa

Overview of attention for article published in Genome Medicine, October 2017
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

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7 news outlets
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53 X users

Citations

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65 Dimensions

Readers on

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135 Mendeley
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Title
Public health surveillance in the UK revolutionises our understanding of the invasive Salmonella Typhimurium epidemic in Africa
Published in
Genome Medicine, October 2017
DOI 10.1186/s13073-017-0480-7
Pubmed ID
Authors

Philip M. Ashton, Siân V. Owen, Lukeki Kaindama, Will P. M. Rowe, Chris R. Lane, Lesley Larkin, Satheesh Nair, Claire Jenkins, Elizabeth M. de Pinna, Nicholas A. Feasey, Jay C. D. Hinton, Timothy J. Dallman

Abstract

The ST313 sequence type of Salmonella Typhimurium causes invasive non-typhoidal salmonellosis and was thought to be confined to sub-Saharan Africa. Two distinct phylogenetic lineages of African ST313 have been identified. We analysed the whole genome sequences of S. Typhimurium isolates from UK patients that were generated following the introduction of routine whole-genome sequencing (WGS) of Salmonella enterica by Public Health England in 2014. We found that 2.7% (84/3147) of S. Typhimurium from patients in England and Wales were ST313 and were associated with gastrointestinal infection. Phylogenetic analysis revealed novel diversity of ST313 that distinguished UK-linked gastrointestinal isolates from African-associated extra-intestinal isolates. The majority of genome degradation of African ST313 lineage 2 was conserved in the UK-ST313, but the African lineages carried a characteristic prophage and antibiotic resistance gene repertoire. These findings suggest that a strong selection pressure exists for certain horizontally acquired genetic elements in the African setting. One UK-isolated lineage 2 strain that probably originated in Kenya carried a chromosomally located bla CTX-M-15, demonstrating the continual evolution of this sequence type in Africa in response to widespread antibiotic usage. The discovery of ST313 isolates responsible for gastroenteritis in the UK reveals new diversity in this important sequence type. This study highlights the power of routine WGS by public health agencies to make epidemiologically significant deductions that would be missed by conventional microbiological methods. We speculate that the niche specialisation of sub-Saharan African ST313 lineages is driven in part by the acquisition of accessory genome elements.

X Demographics

X Demographics

The data shown below were collected from the profiles of 53 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 135 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 135 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 13%
Student > Master 18 13%
Student > Bachelor 13 10%
Student > Ph. D. Student 12 9%
Student > Postgraduate 5 4%
Other 18 13%
Unknown 51 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 17%
Medicine and Dentistry 18 13%
Immunology and Microbiology 14 10%
Agricultural and Biological Sciences 13 10%
Unspecified 3 2%
Other 12 9%
Unknown 52 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 78. 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 15 July 2020.
All research outputs
#541,731
of 25,307,660 outputs
Outputs from Genome Medicine
#99
of 1,568 outputs
Outputs of similar age
#11,453
of 336,400 outputs
Outputs of similar age from Genome Medicine
#2
of 29 outputs
Altmetric has tracked 25,307,660 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,568 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one has done particularly well, scoring higher than 93% 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 336,400 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 96% of its contemporaries.
We're also able to compare this research output to 29 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 96% of its contemporaries.