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A multiplex PCR assay for the detection of five influenza viruses using a dual priming oligonucleotide system

Overview of attention for article published in BMC Infectious Diseases, February 2015
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  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Title
A multiplex PCR assay for the detection of five influenza viruses using a dual priming oligonucleotide system
Published in
BMC Infectious Diseases, February 2015
DOI 10.1186/s12879-015-0818-y
Pubmed ID
Authors

Xuezheng Ma, Huanzhou Xu, Lei Shi, Pengfei Yang, Liping Zhang, Xiaohong Sun, Wei Zhen, Kongxin Hu

Abstract

A cost-effective, accurate and rapid simultaneous multiplex assay is required for testing and diagnoses of conventional and emerging viruses in clinical virology laboratories. We developed and optimized a dual priming oligonucleotide (DPO) multiplex PCR assay for detecting influenza viruses including seasonal H1N1, 2009 pandemic H1N1, H3N2, influenza B and H5N1. The optimized multiplex DPO PCR was used to detect 233 clinical human samples. The results were compared to those obtained with RT-qPCR, conventional PCR and immunochromatographic assay. Specificity analysis revealed that the DPO PCR assay amplified each target virus without any cross-amplification. Statistical analysis demonstrated that the multiplex DPO-PCR sensitivity was higher than for the immunochromatographic assay and lower than for qPCR, while no significant difference was observed compared with conventional PCR, when detecting influenza A and B. Additional experiments using the same sample panel indicated no significant differences between the number of positive samples detected by multiplex DPO PCR and RT-qPCR when applying a Cq with a value lower than 30. The five-targeted simultaneous multiplex DPO PCR assay could be easily adopted into routine practice. This approach is cost effective with a short running time, low technical requirements for the detection of influenza virus and early diagnosis in clinical laboratories.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Belgium 1 2%
Unknown 54 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 29%
Student > Ph. D. Student 9 16%
Student > Bachelor 5 9%
Other 5 9%
Student > Master 3 5%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 29%
Biochemistry, Genetics and Molecular Biology 10 18%
Medicine and Dentistry 6 11%
Veterinary Science and Veterinary Medicine 3 5%
Immunology and Microbiology 3 5%
Other 7 13%
Unknown 11 20%
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 03 August 2020.
All research outputs
#13,936,629
of 22,792,160 outputs
Outputs from BMC Infectious Diseases
#3,550
of 7,674 outputs
Outputs of similar age
#129,217
of 255,481 outputs
Outputs of similar age from BMC Infectious Diseases
#65
of 158 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,674 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 51% 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 255,481 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.