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Rapid and specific detection of porcine parvovirus using real-time PCR and High Resolution Melting (HRM) analysis

Overview of attention for article published in BMC Veterinary Research, February 2015
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Title
Rapid and specific detection of porcine parvovirus using real-time PCR and High Resolution Melting (HRM) analysis
Published in
BMC Veterinary Research, February 2015
DOI 10.1186/s12917-015-0364-2
Pubmed ID
Authors

Hai-Qiong Yu, Xian-Quan Cai, Zhi-Xiong Lin, Xiang-Li Li, Qiao-Yun Yue, Rong Li, Xing-Quan Zhu

Abstract

Porcine parvovirus (PPV) is the important causative agent for infectious infertility, which is a fairly tough virus that multiplies normally in the intestine of pigs without causing clinical signs in the world. We developed an assay integrating real-time PCR and high resolution melting (HRM) analysis for the detection of PPV. Primers targeting the VP gene were highly specific, as evidenced by the negative amplification of closely related viruses, such as porcine circovirus 2 (PCV2), porcine reproductive and respiratory syndrome virus (PRRSV), pseudorabies virus (PRV), classical swine fever virus (CSFV), or Japanese encephalitis virus (JEV). The performance of unlabeled real time PCR was compared to TaqMan real time PCR, and the detection limits of the two methods were nearly equal. Moreover, there was good correlation between Cp and diluted genomic DNA when tested with the two methods. The assay has the accuracy of 100% in reference to labeled real time PCR, when it was tested on 45 clinical samples. The present study demonstrated that the established assay integrating real-time PCR and HRM is relatively cost-effective and more stable, which provides an alternative tool for rapid, simple, specific and sensitive detection of PPV.

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

Geographical breakdown

Country Count As %
Denmark 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 20%
Researcher 6 15%
Student > Bachelor 5 13%
Student > Ph. D. Student 5 13%
Professor > Associate Professor 3 8%
Other 6 15%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 30%
Veterinary Science and Veterinary Medicine 10 25%
Biochemistry, Genetics and Molecular Biology 4 10%
Medicine and Dentistry 2 5%
Nursing and Health Professions 1 3%
Other 3 8%
Unknown 8 20%
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 02 March 2015.
All research outputs
#18,401,956
of 22,793,427 outputs
Outputs from BMC Veterinary Research
#1,923
of 3,050 outputs
Outputs of similar age
#185,965
of 255,870 outputs
Outputs of similar age from BMC Veterinary Research
#26
of 43 outputs
Altmetric has tracked 22,793,427 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,050 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
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We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.