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Identifying viral parameters from in vitro cell cultures

Overview of attention for article published in Frontiers in Microbiology, January 2012
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Title
Identifying viral parameters from in vitro cell cultures
Published in
Frontiers in Microbiology, January 2012
DOI 10.3389/fmicb.2012.00319
Pubmed ID
Authors

Shingo Iwami, Kei Sato, Rob J. De Boer, Kazuyuki Aihara, Tomoyuki Miura, Yoshio Koyanagi

Abstract

Current in vitro cell culture studies of viral replication deliver detailed time courses of several virological variables, like the amount of virions and the number of target cells, measured over several days of the experiment. Each of these time points solely provides a snap-shot of the virus infection kinetics and is brought about by the complex interplay of target cell infection, and viral production and cell death. It remains a challenge to interpret these data quantitatively and to reveal the kinetics of these underlying processes to understand how the viral infection depends on these kinetic properties. In order to decompose the kinetics of virus infection, we introduce a method to "quantitatively" describe the virus infection in in vitro cell cultures, and discuss the potential of the mathematical based analyses for experimental virology.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 27%
Researcher 8 14%
Student > Bachelor 6 11%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 9 16%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 18%
Biochemistry, Genetics and Molecular Biology 7 13%
Mathematics 6 11%
Immunology and Microbiology 4 7%
Neuroscience 3 5%
Other 13 23%
Unknown 13 23%
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 04 September 2012.
All research outputs
#20,165,369
of 22,675,759 outputs
Outputs from Frontiers in Microbiology
#22,069
of 24,472 outputs
Outputs of similar age
#221,176
of 244,088 outputs
Outputs of similar age from Frontiers in Microbiology
#228
of 317 outputs
Altmetric has tracked 22,675,759 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,472 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 244,088 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.