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Micro-droplet Digital Polymerase Chain Reaction and Real-Time Quantitative Polymerase Chain Reaction Technologies Provide Highly Sensitive and Accurate Detection of Zika Virus

Overview of attention for article published in Virologica Sinica, June 2018
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

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Citations

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28 Mendeley
Title
Micro-droplet Digital Polymerase Chain Reaction and Real-Time Quantitative Polymerase Chain Reaction Technologies Provide Highly Sensitive and Accurate Detection of Zika Virus
Published in
Virologica Sinica, June 2018
DOI 10.1007/s12250-018-0037-y
Pubmed ID
Authors

Yuan Hui, Zhiming Wu, Zhiran Qin, Li Zhu, Junhe Liang, Xujuan Li, Hanmin Fu, Shiyu Feng, Jianhai Yu, Xiaoen He, Weizhi Lu, Weiwei Xiao, Qinghua Wu, Bao Zhang, Wei Zhao

Abstract

The establishment of highly sensitive diagnostic methods is critical in the early diagnosis and control of Zika virus (ZIKV) and in preventing serious neurological complications of ZIKV infection. In this study, we established micro-droplet digital polymerase chain reaction (ddPCR) and real-time quantitative PCR (RT-qPCR) protocols for the detection of ZIKV based on the amplification of the NS5 gene. For the ZIKV standard plasmid, the RT-qPCR results showed that the cycle threshold (Ct) value was linear from 101 to 108 copy/μL, with a standard curve R2 of 0.999 and amplification efficiency of 92.203%; however, a concentration as low as 1 copy/μL could not be detected. In comparison with RT-qPCR, the ddPCR method resulted in a linear range of 101-104 copy/μL and was able to detect concentrations as low as 1 copy/μL. Thus, for detecting ZIKV from clinical samples, RT-qPCR is a better choice for high-concentration samples (above 101 copy/μL), while ddPCR has excellent accuracy and sensitivity for low-concentration samples. These results indicate that the ddPCR method should be of considerable use in the early diagnosis, laboratory study, and monitoring of ZIKV.

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

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Doctoral Student 4 14%
Researcher 3 11%
Student > Bachelor 2 7%
Student > Ph. D. Student 2 7%
Other 2 7%
Unknown 9 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 18%
Medicine and Dentistry 3 11%
Environmental Science 2 7%
Engineering 2 7%
Agricultural and Biological Sciences 1 4%
Other 3 11%
Unknown 12 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 14 December 2018.
All research outputs
#6,817,867
of 25,263,619 outputs
Outputs from Virologica Sinica
#145
of 661 outputs
Outputs of similar age
#107,985
of 335,196 outputs
Outputs of similar age from Virologica Sinica
#3
of 6 outputs
Altmetric has tracked 25,263,619 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 661 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.9. This one has done well, scoring higher than 78% 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 335,196 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.