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Development of a high-throughput colorimetric Zika virus infection assay

Overview of attention for article published in Medical Microbiology and Immunology, February 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#45 of 654)
  • High Attention Score compared to outputs of the same age (82nd percentile)

Mentioned by

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1 X user
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5 patents
wikipedia
1 Wikipedia page

Citations

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34 Dimensions

Readers on

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115 Mendeley
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1 CiteULike
Title
Development of a high-throughput colorimetric Zika virus infection assay
Published in
Medical Microbiology and Immunology, February 2017
DOI 10.1007/s00430-017-0493-2
Pubmed ID
Authors

Janis A. Müller, Mirja Harms, Axel Schubert, Benjamin Mayer, Stephanie Jansen, Jean-Philippe Herbeuval, Detlef Michel, Thomas Mertens, Olli Vapalahti, Jonas Schmidt-Chanasit, Jan Münch

Abstract

Zika virus (ZIKV) is an emerging pathogen that causes congenital infections which may result in birth defects, such as microcephaly. Currently, no approved treatment or vaccination is available. ZIKV can be readily detected in cell culture where virally infected cells are normally stained by specific antibodies. As ZIKV regularly causes a cytopathic effect, we were wondering whether this viral property can be used to quantitatively determine viral infectivity. We here describe the use of an 3-[4,5-dimethyl-2-thiazolyl]-2,5-diphenyl-2H-tetrazolium bromide-(MTT)-based cell viability assay that allows to determine ZIKV-induced cell death. We show that this colorimetric assay quantifies ZIKV infection over a broad range of viral dilutions in both monkey and human cells. It allows to determine inhibitory activities of antivirals that block ZIKV or to define the neutralizing antibody titers of ZIKV antisera. This MTT-based ZIKV detection assay can be evaluated by naked eye or computational tools, has a broad linear range, does not require large equipment or costly reagents, and thus represents a promising alternative to antibody-based assays, in particular in resource-poor settings. We propose to use this simple, fast, and cheap method for quantification of ZIKV neutralizing antibodies and testing of antiviral compounds.

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

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Unknown 114 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 17%
Student > Master 20 17%
Student > Bachelor 15 13%
Student > Ph. D. Student 12 10%
Student > Doctoral Student 10 9%
Other 19 17%
Unknown 19 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 19%
Agricultural and Biological Sciences 18 16%
Immunology and Microbiology 15 13%
Medicine and Dentistry 11 10%
Chemistry 5 4%
Other 21 18%
Unknown 23 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 February 2024.
All research outputs
#3,815,678
of 25,837,817 outputs
Outputs from Medical Microbiology and Immunology
#45
of 654 outputs
Outputs of similar age
#74,230
of 428,338 outputs
Outputs of similar age from Medical Microbiology and Immunology
#1
of 4 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. 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 428,338 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 82% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them