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Host-Pathogen Interactions in Streptococcal Diseases

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Attention for Chapter 278: Molecular Markers for the Study of Streptococcal Epidemiology.
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Chapter title
Molecular Markers for the Study of Streptococcal Epidemiology.
Chapter number 278
Book title
Host-Pathogen Interactions in Streptococcal Diseases
Published in
Current topics in microbiology and immunology, November 2012
DOI 10.1007/82_2012_278
Pubmed ID
Book ISBNs
978-3-64-236339-9, 978-3-64-236340-5
Authors

McMillan DJ, Sanderson-Smith ML, Smeesters P, Sriprakash KS, David J. McMillan, Martina L. Sanderson-Smith, Pierre Robert Smeesters, Kadaba S. Sriprakash, McMillan, David J., Sanderson-Smith, Martina L., Smeesters, Pierre Robert, Sriprakash, Kadaba S.

Abstract

Diseases caused by Streptococcus pyogenes (Group A streptococcus, GAS) range from superficial infections such as pharyngitis and impetigo to potentially fatal rheumatic heart disease and invasive disease. Studies spanning emm-typing surveillance to population genomics are providing new insights into the epidemiology, pathogenesis, and biology of this organism. Such studies have demonstrated the differences that exist in the epidemiology of streptococcal disease between developing and developed nations. In developing nations, where streptococcal disease is endemic, the diversity of GAS emm-types circulating is much greater than that found in developed nations. An association between emm-type and disease, as observed in developed countries is also lacking. Intriguingly, comparative genetic studies suggest that emm-type is not always a good predictor of the evolutionary relatedness of geographically distant isolates. A view of GAS as a highly dynamic organism, in possession of a core set of virulence genes that contribute to host niche specialization and common pathogenic processes, augmented by accessory genes that change the relative virulence of specific lineages is emerging. Our inability to definitively identify genetic factors that contribute to specific disease outcome underscores the complex nature of streptococcal diseases.

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The data shown below were collected from the profile of 1 X user 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Postgraduate 2 15%
Student > Ph. D. Student 2 15%
Lecturer 1 8%
Student > Doctoral Student 1 8%
Other 3 23%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 23%
Medicine and Dentistry 3 23%
Immunology and Microbiology 2 15%
Veterinary Science and Veterinary Medicine 1 8%
Economics, Econometrics and Finance 1 8%
Other 1 8%
Unknown 2 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 November 2012.
All research outputs
#18,321,703
of 22,687,320 outputs
Outputs from Current topics in microbiology and immunology
#525
of 672 outputs
Outputs of similar age
#214,506
of 276,400 outputs
Outputs of similar age from Current topics in microbiology and immunology
#29
of 34 outputs
Altmetric has tracked 22,687,320 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 672 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one is in the 11th percentile – i.e., 11% of its peers scored the same or lower than it.
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 276,400 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.