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Vaccination Strategies Against Highly Variable Pathogens

Overview of attention for book
Attention for Chapter 103: Targeting Glycans on Human Pathogens for Vaccine Design
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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Chapter title
Targeting Glycans on Human Pathogens for Vaccine Design
Chapter number 103
Book title
Vaccination Strategies Against Highly Variable Pathogens
Published in
Current topics in microbiology and immunology, January 2018
DOI 10.1007/82_2018_103
Pubmed ID
Book ISBNs
978-3-03-058003-2, 978-3-03-058004-9
Authors

Stefanie A. Krumm, Katie J. Doores, Krumm, Stefanie A., Doores, Katie J.

Abstract

Glycosylation is an important post-translational modification that is required for structural and stability purposes and functional roles such as signalling, attachment and shielding. Many human pathogens such as bacteria display an array of carbohydrates on their surface that are non-self to the host; others such as viruses highjack the host-cell machinery and present self-carbohydrates sometimes arranged in a non-self more immunogenic manner. In combination with carrier proteins, these glycan structures can be highly immunogenic. During natural infection, glycan-binding antibodies are often elicited that correlate with long-lasting protection. A great amount of research has been invested in carbohydrate vaccine design to elicit such an immune response, which has led to the development of vaccines against the bacterial pathogens Haemophilus influenzae type b, Streptococcus pneumonia and Neisseria meningitidis. Other vaccines, e.g. against HIV-1, are still in development, but promising progress has been made with the isolation of broadly neutralizing glycan-binding antibodies and the engineering of stable trimeric envelope glycoproteins. Carbohydrate vaccines against other pathogens such as viruses (Dengue, Hepatitis C), parasites (Plasmodium) and fungi (Candida) are at different stages of development. This chapter will discuss the challenges in inducing cross-reactive carbohydrate-targeting antibodies and progress towards carbohydrate vaccines.

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X Demographics

The data shown below were collected from the profiles of 6 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 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 7 17%
Researcher 6 14%
Student > Ph. D. Student 6 14%
Student > Master 3 7%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 16 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 14%
Immunology and Microbiology 5 12%
Agricultural and Biological Sciences 4 10%
Medicine and Dentistry 2 5%
Engineering 2 5%
Other 7 17%
Unknown 16 38%
Attention Score in Context

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 28 July 2018.
All research outputs
#7,697,099
of 23,577,654 outputs
Outputs from Current topics in microbiology and immunology
#204
of 689 outputs
Outputs of similar age
#153,631
of 445,160 outputs
Outputs of similar age from Current topics in microbiology and immunology
#3
of 10 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 689 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 70% 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 445,160 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 65% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.