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Detection and characterization of diverse alpha- and betacoronaviruses from bats in China

Overview of attention for article published in Virologica Sinica, February 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#30 of 662)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

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2 news outlets
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2 Wikipedia pages

Citations

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31 Dimensions

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65 Mendeley
Title
Detection and characterization of diverse alpha- and betacoronaviruses from bats in China
Published in
Virologica Sinica, February 2016
DOI 10.1007/s12250-016-3727-3
Pubmed ID
Authors

Lin Xu, Fuqiang Zhang, Weihong Yang, Tinglei Jiang, Guanjun Lu, Biao He, Xingyu Li, Tingsong Hu, Gang Chen, Yun Feng, Yuzhen Zhang, Quanshui Fan, Jiang Feng, Hailin Zhang, Changchun Tu

Abstract

Bats have been implicated as important reservoir hosts of alpha- and betacoronaviruses. In this study, diverse coronaviruses (CoVs) were detected in 50 of 951 (positive rate 5.3%) intestinal specimens of eight bat species collected in four provinces and the Tibet Autonomous Region of China by pan-coronavirus RT-PCR screening. Based on 400-nt RNA-dependent RNA polymerase (RdRP) sequence analysis, eight belonged to genus Alphacoronavirus and 42 to Betacoronavirus. Among the 50 positive specimens, thirteen gave rise to CoV full-length RdRP gene amplification for further sequence comparison, of which three divergent sequences (two from a unreported province) were subjected to full genome sequencing. Two complete genomes of betacoronaviruses (JTMC15 and JPDB144) and one nearly-complete genome of alphacoronavirus (JTAC2) were sequenced and their genomic organization predicted. The present study has identified additional numbers of genetically diverse bat-borne coronaviruses with a wide distribution in China. Two new species of bat CoV, identified through sequence comparison and phylogenetic analysis, are proposed.

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 17%
Student > Ph. D. Student 9 14%
Student > Bachelor 8 12%
Student > Master 7 11%
Other 4 6%
Other 12 18%
Unknown 14 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 25%
Agricultural and Biological Sciences 11 17%
Veterinary Science and Veterinary Medicine 7 11%
Medicine and Dentistry 4 6%
Environmental Science 3 5%
Other 6 9%
Unknown 18 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 09 February 2024.
All research outputs
#1,488,868
of 25,345,468 outputs
Outputs from Virologica Sinica
#30
of 662 outputs
Outputs of similar age
#26,159
of 409,825 outputs
Outputs of similar age from Virologica Sinica
#4
of 19 outputs
Altmetric has tracked 25,345,468 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 662 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 particularly well, scoring higher than 95% 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 409,825 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.