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Salmonella–Host Interactions – Modulation of the Host Innate Immune System

Overview of attention for article published in Frontiers in immunology, October 2014
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558 Mendeley
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Title
Salmonella–Host Interactions – Modulation of the Host Innate Immune System
Published in
Frontiers in immunology, October 2014
DOI 10.3389/fimmu.2014.00481
Pubmed ID
Authors

Daniel Hurley, Matthew P. McCusker, Séamus Fanning, Marta Martins

Abstract

Salmonella enterica (S. enterica) are Gram-negative bacteria that can invade a broad range of hosts causing both acute and chronic infections. This phenotype is related to its ability to replicate and persist within non-phagocytic host epithelial cells as well as phagocytic dendritic cells and macrophages of the innate immune system. Infection with S. enterica manifests itself through a broad range of clinical symptoms and can result in asymptomatic carriage, gastroenteritis, systemic disease such as typhoid fever and in severe cases, death (1). Exposure to S. enterica serovars Typhi and Paratyphi exhibits clinical symptoms including diarrhea, fatigue, fever, and temperature fluctuations. Other serovars such as the non-typhoidal Salmonella (NTS), of which there are over 2,500, are commonly contracted as, but not limited to, food-borne sources causing gastrointestinal symptoms, which include diarrhea and vomiting. The availability of complete genome sequences for many S. enterica serovars has facilitated research into the genetic determinants of virulence for this pathogen. This work has led to the identification of important bacterial components, including flagella, type III secretion systems, lipopolysaccharides, and Salmonella pathogenicity islands, all of which support the intracellular life cycle of S. enterica. Studies focusing on the host-pathogen interaction have provided insights into receptor activation of the innate immune system. Therefore, characterizing the host-S. enterica interaction is critical to understand the pathogenicity of the bacteria in a clinically relevant context. This review outlines salmonellosis and the clinical manifestations between typhoidal and NTS infections as well as discussing the host immune response to infection and the models that are being used to elucidate the mechanisms involved in Salmonella pathogenicity.

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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 558 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
France 1 <1%
Norway 1 <1%
Brazil 1 <1%
Argentina 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 551 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 88 16%
Student > Bachelor 87 16%
Student > Master 79 14%
Researcher 56 10%
Student > Doctoral Student 29 5%
Other 78 14%
Unknown 141 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 132 24%
Biochemistry, Genetics and Molecular Biology 100 18%
Immunology and Microbiology 62 11%
Medicine and Dentistry 47 8%
Veterinary Science and Veterinary Medicine 20 4%
Other 41 7%
Unknown 156 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 November 2020.
All research outputs
#16,047,334
of 25,374,647 outputs
Outputs from Frontiers in immunology
#16,703
of 31,516 outputs
Outputs of similar age
#144,219
of 267,625 outputs
Outputs of similar age from Frontiers in immunology
#92
of 181 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 42nd percentile – i.e., 42% 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 267,625 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 181 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.