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Prevalence and genetic diversity analysis of human coronaviruses among cross-border children

Overview of attention for article published in Virology Journal, November 2017
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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11 tweeters
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13 Wikipedia pages

Citations

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30 Dimensions

Readers on

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123 Mendeley
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Title
Prevalence and genetic diversity analysis of human coronaviruses among cross-border children
Published in
Virology Journal, November 2017
DOI 10.1186/s12985-017-0896-0
Pubmed ID
Authors

Peilin Liu, Lei Shi, Wei Zhang, Jianan He, Chunxiao Liu, Chunzhong Zhao, Siu Kai Kong, Jacky Fong Chuen Loo, Dayong Gu, Longfei Hu

Abstract

More than a decade after the outbreak of human coronaviruses (HCoVs) SARS in Guangdong province and Hong Kong SAR of China in 2002, there is still no reoccurrence, but the evolution and recombination of the coronaviruses in this region are still unknown. Therefore, surveillance on the prevalence and the virus variation of HCoVs circulation in this region is conducted. A total of 3298 nasopharyngeal swabs samples were collected from cross-border children (<6 years, crossing border between Southern China and Hong Kong SAR) showing symptoms of respiratory tract infection, such as fever (body temperature > 37.5 °C), from 2014 May to 2015 Dec. Viral nucleic acids were analyzed and sequenced to study the prevalence and genetic diversity of the four human coronaviruses. The statistical significance of the data was evaluated with Fisher chi-square test. 78 (2.37%; 95%CI 1.8-2.8%) out of 3298 nasopharyngeal swabs specimens were found to be positive for OC43 (36;1.09%), HKU1 (34; 1.03%), NL63 (6; 0.18%) and 229E (2;0.01%). None of SARS or MERS was detected. The HCoVs predominant circulating season was in transition of winter to spring, especially January and February and NL63 detected only in summer and fall. Complex population with an abundant genetic diversity of coronaviruses was circulating and they shared homology with the published strains (99-100%). Besides, phylogenetic evolutionary analysis indicated that OC43 coronaviruses were clustered into three clades (B,D,E), HKU1 clustered into two clades(A,B) and NL63 clustered into two clades(A,B). Moreover, several novel mutations including nucleotides substitution and the insertion of spike of the glycoprotein on the viral surface were discovered. The detection rate and epidemic trend of coronaviruses were stable and no obvious fluctuations were found. The detected coronaviruses shared a conserved gene sequences in S and RdRp. However, mutants of the epidemic strains were detected, suggesting continuous monitoring of the human coronaviruses is in need among cross-border children, who are more likely to get infected and transmit the viruses across the border easily, in addition to the general public.

Twitter Demographics

The data shown below were collected from the profiles of 11 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 123 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 20 16%
Student > Ph. D. Student 12 10%
Student > Master 12 10%
Researcher 10 8%
Lecturer 6 5%
Other 22 18%
Unknown 41 33%
Readers by discipline Count As %
Medicine and Dentistry 20 16%
Nursing and Health Professions 9 7%
Biochemistry, Genetics and Molecular Biology 6 5%
Veterinary Science and Veterinary Medicine 5 4%
Agricultural and Biological Sciences 5 4%
Other 26 21%
Unknown 52 42%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 September 2021.
All research outputs
#2,938,782
of 22,148,987 outputs
Outputs from Virology Journal
#274
of 2,969 outputs
Outputs of similar age
#76,717
of 449,366 outputs
Outputs of similar age from Virology Journal
#16
of 217 outputs
Altmetric has tracked 22,148,987 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,969 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.5. This one has done particularly well, scoring higher than 90% 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 449,366 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 82% of its contemporaries.
We're also able to compare this research output to 217 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.