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Complete genomic characteristics and pathogenic analysis of the newly emerged classical swine fever virus in China

Overview of attention for article published in BMC Veterinary Research, June 2018
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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 (88th percentile)

Mentioned by

twitter
31 tweeters

Citations

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18 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Complete genomic characteristics and pathogenic analysis of the newly emerged classical swine fever virus in China
Published in
BMC Veterinary Research, June 2018
DOI 10.1186/s12917-018-1504-2
Pubmed ID
Authors

Hongliang Zhang, Chaoliang Leng, Zhijun Tian, Chunxiao Liu, Jiazeng Chen, Yun Bai, Zhen Li, Lirun Xiang, Hongyue Zhai, Qian Wang, Jinmei Peng, Tongqing An, Yunchao Kan, Lunguang Yao, Xufu Yang, Xuehui Cai, Guangzhi Tong

Abstract

Classical swine fever (CSF) is one of the most devastating and highly contagious viral diseases in the world. Since late 2014, outbreaks of a new sub-genotype 2.1d CSF virus (CSFV) had caused substantial economic losses in numbers of C-strain vaccinated swine farms in China. The objective of the present study was to explore the genomic characteristics and pathogenicity of the newly emerged CSFV isolates in China during 2014-2015. All the new 8 CSFV isolates belonged to genetic sub-genotype 2.1d. Some genomic variations or deletions were found in the UTRs and E2 of these new isolates. In addition, the pathogenicity of HLJ1 was less than Shimen, suggesting the HLJ1 of sub-genotype 2.1d may be a moderated pathogenic isolate and the C-strain vaccine can supply complete protection. The new CSFV isolates with unique genomic characteristics and moderate pathogenicity can be epidemic in many large-scale C-strain vaccinated swine farms. This study provides the information should be merited special attention on establishing prevention and control policies for CSF.

Twitter Demographics

The data shown below were collected from the profiles of 31 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 24%
Researcher 4 19%
Student > Doctoral Student 2 10%
Student > Bachelor 2 10%
Unspecified 1 5%
Other 2 10%
Unknown 5 24%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 6 29%
Agricultural and Biological Sciences 4 19%
Medicine and Dentistry 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Unspecified 1 5%
Other 2 10%
Unknown 5 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 26 February 2019.
All research outputs
#1,481,155
of 21,340,902 outputs
Outputs from BMC Veterinary Research
#79
of 2,866 outputs
Outputs of similar age
#33,786
of 297,941 outputs
Outputs of similar age from BMC Veterinary Research
#1
of 1 outputs
Altmetric has tracked 21,340,902 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,866 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 97% 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 297,941 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 88% of its contemporaries.
We're also able to compare this research output to 1 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