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Carbohydrate-Based Vaccines

Overview of attention for book
Attention for Chapter 12: Characterization of Carbohydrate Vaccines by NMR Spectroscopy
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Chapter title
Characterization of Carbohydrate Vaccines by NMR Spectroscopy
Chapter number 12
Book title
Carbohydrate-Based Vaccines
Published in
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2874-3_12
Pubmed ID
Book ISBNs
978-1-4939-2873-6, 978-1-4939-2874-3
Authors

Francesco Berti, Neil Ravenscroft, Berti, Francesco, Ravenscroft, Neil

Abstract

Physicochemical techniques are a powerful tool for the structural characterization of carbohydrate-based vaccines. High-field Nuclear Magnetic Resonance (NMR) spectroscopy has been established as an extremely useful and robust method for tracking the industrial manufacturing process of these vaccines from polysaccharide bulk antigen through to the final formulation. Here, we describe the use of proton NMR for structural identity and conformity testing of carbohydrate-based vaccines.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Other 3 16%
Researcher 3 16%
Student > Master 2 11%
Student > Bachelor 1 5%
Other 1 5%
Unknown 4 21%
Readers by discipline Count As %
Chemistry 6 32%
Biochemistry, Genetics and Molecular Biology 4 21%
Immunology and Microbiology 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Agricultural and Biological Sciences 1 5%
Other 0 0%
Unknown 5 26%
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 14 December 2020.
All research outputs
#20,531,158
of 25,959,914 outputs
Outputs from Methods in molecular biology
#8,547
of 14,428 outputs
Outputs of similar age
#259,627
of 365,136 outputs
Outputs of similar age from Methods in molecular biology
#476
of 1,008 outputs
Altmetric has tracked 25,959,914 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,428 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 36th percentile – i.e., 36% 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 365,136 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,008 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.