↓ Skip to main content

Analytical technologies for influenza virus-like particle candidate vaccines: challenges and emerging approaches

Overview of attention for article published in Virology Journal, May 2013
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
twitter
3 X users
patent
2 patents

Citations

dimensions_citation
67 Dimensions

Readers on

mendeley
173 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Analytical technologies for influenza virus-like particle candidate vaccines: challenges and emerging approaches
Published in
Virology Journal, May 2013
DOI 10.1186/1743-422x-10-141
Pubmed ID
Authors

Christine M Thompson, Emma Petiot, Alexandre Lennaertz, Olivier Henry, Amine A Kamen

Abstract

Influenza virus-like particle vaccines are one of the most promising ways to respond to the threat of future influenza pandemics. VLPs are composed of viral antigens but lack nucleic acids making them non-infectious which limit the risk of recombination with wild-type strains. By taking advantage of the advancements in cell culture technologies, the process from strain identification to manufacturing has the potential to be completed rapidly and easily at large scales. After closely reviewing the current research done on influenza VLPs, it is evident that the development of quantification methods has been consistently overlooked. VLP quantification at all stages of the production process has been left to rely on current influenza quantification methods (i.e. Hemagglutination assay (HA), Single Radial Immunodiffusion assay (SRID), NA enzymatic activity assays, Western blot, Electron Microscopy). These are analytical methods developed decades ago for influenza virions and final bulk influenza vaccines. Although these methods are time-consuming and cumbersome they have been sufficient for the characterization of final purified material. Nevertheless, these analytical methods are impractical for in-line process monitoring because VLP concentration in crude samples generally falls out of the range of detection for these methods. This consequently impedes the development of robust influenza-VLP production and purification processes. Thus, development of functional process analytical techniques, applicable at every stage during production, that are compatible with different production platforms is in great need to assess, optimize and exploit the full potential of novel manufacturing platforms.

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

Geographical breakdown

Country Count As %
Portugal 2 1%
Belgium 2 1%
France 1 <1%
Korea, Republic of 1 <1%
Indonesia 1 <1%
Canada 1 <1%
India 1 <1%
Argentina 1 <1%
United States 1 <1%
Other 0 0%
Unknown 162 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 23%
Researcher 36 21%
Student > Master 29 17%
Student > Bachelor 18 10%
Student > Doctoral Student 13 8%
Other 20 12%
Unknown 17 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 59 34%
Biochemistry, Genetics and Molecular Biology 31 18%
Engineering 18 10%
Medicine and Dentistry 9 5%
Chemical Engineering 9 5%
Other 26 15%
Unknown 21 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 01 December 2022.
All research outputs
#2,542,640
of 24,907,378 outputs
Outputs from Virology Journal
#227
of 3,321 outputs
Outputs of similar age
#20,695
of 197,146 outputs
Outputs of similar age from Virology Journal
#7
of 87 outputs
Altmetric has tracked 24,907,378 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,321 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.7. This one has done particularly well, scoring higher than 93% 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 197,146 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.