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Virus like particle-based vaccines against emerging infectious disease viruses

Overview of attention for article published in Virologica Sinica, July 2016
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3 X users

Citations

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33 Dimensions

Readers on

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112 Mendeley
Title
Virus like particle-based vaccines against emerging infectious disease viruses
Published in
Virologica Sinica, July 2016
DOI 10.1007/s12250-016-3756-y
Pubmed ID
Authors

Jinliang Liu, Shiyu Dai, Manli Wang, Zhihong Hu, Hualin Wang, Fei Deng

Abstract

Emerging infectious diseases are major threats to human health. Most severe viral disease outbreaks occur in developing regions where health conditions are poor. With increased international travel and business, the possibility of eventually transmitting infectious viruses between different countries is increasing. The most effective approach in preventing viral diseases is vaccination. However, vaccines are not currently available for numerous viral diseases. Virus-like particles (VLPs) are engineered vaccine candidates that have been studied for decades. VLPs are constructed by viral protein expression in various expression systems that promote the self-assembly of proteins into structures resembling virus particles. VLPs have antigenicity similar to that of the native virus, but are non-infectious as they lack key viral genetic material. VLP vaccines have attracted considerable research interest because they offer several advantages over traditional vaccines. Studies have shown that VLP vaccines can stimulate both humoral and cellular immune responses, which may offer effective antiviral protection. Here we review recent developments with VLP-based vaccines for several highly virulent emerging or re-emerging infectious diseases. The infectious agents discussed include RNA viruses from different virus families, such as the Arenaviridae, Bunyaviridae, Caliciviridae, Coronaviridae, Filoviridae, Flaviviridae, Orthomyxoviridae, Paramyxoviridae, and Togaviridae families.

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

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 111 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 17%
Researcher 18 16%
Student > Bachelor 13 12%
Student > Ph. D. Student 12 11%
Student > Doctoral Student 8 7%
Other 13 12%
Unknown 29 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 21%
Agricultural and Biological Sciences 20 18%
Immunology and Microbiology 13 12%
Veterinary Science and Veterinary Medicine 5 4%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 15 13%
Unknown 32 29%
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 13 January 2022.
All research outputs
#15,556,138
of 24,654,957 outputs
Outputs from Virologica Sinica
#286
of 638 outputs
Outputs of similar age
#213,015
of 361,719 outputs
Outputs of similar age from Virologica Sinica
#5
of 6 outputs
Altmetric has tracked 24,654,957 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 638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one has gotten more attention than average, scoring higher than 53% 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 361,719 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.