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Coexistence of multiple coronaviruses in several bat colonies in an abandoned mineshaft

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

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#3 of 680)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

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57 news outlets
blogs
16 blogs
twitter
507 X users
patent
1 patent
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12 Wikipedia pages
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2 YouTube creators

Citations

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122 Dimensions

Readers on

mendeley
168 Mendeley
Title
Coexistence of multiple coronaviruses in several bat colonies in an abandoned mineshaft
Published in
Virologica Sinica, February 2016
DOI 10.1007/s12250-016-3713-9
Pubmed ID
Authors

Xing-Yi Ge, Ning Wang, Wei Zhang, Ben Hu, Bei Li, Yun-Zhi Zhang, Ji-Hua Zhou, Chu-Ming Luo, Xing-Lou Yang, Li-Jun Wu, Bo Wang, Yun Zhang, Zong-Xiao Li, Zheng-Li Shi

Abstract

Since the 2002-2003 severe acute respiratory syndrome (SARS) outbreak prompted a search for the natural reservoir of the SARS coronavirus, numerous alpha- and betacoronaviruses have been discovered in bats around the world. Bats are likely the natural reservoir of alpha- and betacoronaviruses, and due to the rich diversity and global distribution of bats, the number of bat coronaviruses will likely increase. We conducted a surveillance of coronaviruses in bats in an abandoned mineshaft in Mojiang County, Yunnan Province, China, from 2012-2013. Six bat species were frequently detected in the cave: Rhinolophus sinicus, Rhinolophus affinis, Hipposideros pomona, Miniopterus schreibersii, Miniopterus fuliginosus, and Miniopterus fuscus. By sequencing PCR products of the coronavirus RNA-dependent RNA polymerase gene (RdRp), we found a high frequency of infection by a diverse group of coronaviruses in different bat species in the mineshaft. Sequenced partial RdRp fragments had 80%-99% nucleic acid sequence identity with well-characterized Alphacoronavirus species, including BtCoV HKU2, BtCoV HKU8, and BtCoV1, and unassigned species BtCoV HKU7 and BtCoV HKU10. Additionally, the surveillance identified two unclassified betacoronaviruses, one new strain of SARS-like coronavirus, and one potentially new betacoronavirus species. Furthermore, coronavirus co-infection was detected in all six bat species, a phenomenon that fosters recombination and promotes the emergence of novel virus strains. Our findings highlight the importance of bats as natural reservoirs of coronaviruses and the potentially zoonotic source of viral pathogens.

X Demographics

X Demographics

The data shown below were collected from the profiles of 507 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 168 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 14%
Student > Master 23 14%
Student > Ph. D. Student 21 13%
Student > Bachelor 18 11%
Other 9 5%
Other 21 13%
Unknown 52 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 17%
Biochemistry, Genetics and Molecular Biology 26 15%
Veterinary Science and Veterinary Medicine 9 5%
Environmental Science 7 4%
Immunology and Microbiology 6 4%
Other 31 18%
Unknown 60 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 830. 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 March 2024.
All research outputs
#22,606
of 25,779,988 outputs
Outputs from Virologica Sinica
#3
of 680 outputs
Outputs of similar age
#345
of 312,944 outputs
Outputs of similar age from Virologica Sinica
#1
of 20 outputs
Altmetric has tracked 25,779,988 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 680 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one has done particularly well, scoring higher than 99% 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 312,944 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 99% of its contemporaries.
We're also able to compare this research output to 20 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 95% of its contemporaries.