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Giant Magnetoresistance-based Biosensor for Detection of Influenza A Virus

Overview of attention for article published in Frontiers in Microbiology, March 2016
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

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1 news outlet
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2 X users

Readers on

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146 Mendeley
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Title
Giant Magnetoresistance-based Biosensor for Detection of Influenza A Virus
Published in
Frontiers in Microbiology, March 2016
DOI 10.3389/fmicb.2016.00400
Pubmed ID
Authors

Venkatramana D. Krishna, Kai Wu, Andres M. Perez, Jian-Ping Wang

Abstract

We have developed a simple and sensitive method for the detection of influenza A virus based on giant magnetoresistance (GMR) biosensor. This assay employs monoclonal antibodies to viral nucleoprotein (NP) in combination with magnetic nanoparticles (MNPs). Presence of influenza virus allows the binding of MNPs to the GMR sensor and the binding is proportional to the concentration of virus. Binding of MNPs onto the GMR sensor causes change in the resistance of sensor, which is measured in a real time electrical readout. GMR biosensor detected as low as 1.5 × 10(2) TCID50/mL virus and the signal intensity increased with increasing concentration of virus up to 1.0 × 10(5) TCID50/mL. This study showed that the GMR biosensor assay is relevant for diagnostic application since the virus concentration in nasal samples of influenza virus infected swine was reported to be in the range of 10(3) to 10(5) TCID50/mL.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Belgium 1 <1%
Unknown 145 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 16%
Researcher 24 16%
Student > Master 18 12%
Student > Bachelor 9 6%
Other 6 4%
Other 17 12%
Unknown 48 33%
Readers by discipline Count As %
Engineering 16 11%
Materials Science 14 10%
Physics and Astronomy 12 8%
Agricultural and Biological Sciences 10 7%
Biochemistry, Genetics and Molecular Biology 10 7%
Other 23 16%
Unknown 61 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 09 August 2019.
All research outputs
#2,944,604
of 23,567,572 outputs
Outputs from Frontiers in Microbiology
#2,631
of 26,073 outputs
Outputs of similar age
#48,199
of 302,461 outputs
Outputs of similar age from Frontiers in Microbiology
#87
of 546 outputs
Altmetric has tracked 23,567,572 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 26,073 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 89% 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 302,461 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 83% of its contemporaries.
We're also able to compare this research output to 546 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.