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Preclinical Development and Production of Virus-Like Particles As Vaccine Candidates for Hepatitis C

Overview of attention for article published in Frontiers in Microbiology, December 2017
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  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (58th percentile)

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Title
Preclinical Development and Production of Virus-Like Particles As Vaccine Candidates for Hepatitis C
Published in
Frontiers in Microbiology, December 2017
DOI 10.3389/fmicb.2017.02413
Pubmed ID
Authors

Makutiro Ghislain Masavuli, Danushka K. Wijesundara, Joseph Torresi, Eric J. Gowans, Branka Grubor-Bauk

Abstract

Hepatitis C Virus (HCV) infects 2% of the world's population and is the leading cause of liver disease and liver transplantation. It poses a serious and growing worldwide public health problem that will only be partially addressed with the introduction of new antiviral therapies. However, these treatments will not prevent re-infection particularly in high risk populations. The introduction of a HCV vaccine has been predicted, using simulation models in a high risk population, to have a significant effect on reducing the incidence of HCV. A vaccine with 50 to 80% efficacy targeted to high-risk intravenous drug users could dramatically reduce HCV incidence in this population. Virus like particles (VLPs) are composed of viral structural proteins which self-assemble into non-infectious particles that lack genetic material and resemble native viruses. Thus, VLPs represent a safe and highly immunogenic vaccine delivery platform able to induce potent adaptive immune responses. Currently, many VLP-based vaccines have entered clinical trials, while licensed VLP vaccines for hepatitis B virus (HBV) and human papilloma virus (HPV) have been in use for many years. The HCV core, E1 and E2 proteins can self-assemble into immunogenic VLPs while inclusion of HCV antigens into heterogenous (chimeric) VLPs is also a promising approach. These VLPs are produced using different expression systems such as bacterial, yeast, mammalian, plant, or insect cells. Here, this paper will review HCV VLP-based vaccines and their immunogenicity in animal models as well as the different expression systems used in their production.

X Demographics

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The data shown below were collected from the profiles of 4 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 116 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 21%
Researcher 16 14%
Student > Master 15 13%
Student > Bachelor 14 12%
Student > Doctoral Student 6 5%
Other 10 9%
Unknown 31 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 25 22%
Agricultural and Biological Sciences 15 13%
Immunology and Microbiology 11 9%
Pharmacology, Toxicology and Pharmaceutical Science 10 9%
Chemical Engineering 4 3%
Other 19 16%
Unknown 32 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 16 June 2023.
All research outputs
#7,081,287
of 25,470,300 outputs
Outputs from Frontiers in Microbiology
#6,703
of 29,412 outputs
Outputs of similar age
#128,805
of 446,374 outputs
Outputs of similar age from Frontiers in Microbiology
#213
of 521 outputs
Altmetric has tracked 25,470,300 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 29,412 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 76% 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 446,374 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 70% of its contemporaries.
We're also able to compare this research output to 521 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 58% of its contemporaries.