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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 684)
  • 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

news
57 news outlets
blogs
16 blogs
policy
1 policy source
twitter
506 X users
patent
1 patent
wikipedia
12 Wikipedia pages
video
2 YouTube creators

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
168 Mendeley
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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

X Demographics

X Demographics

The data shown below were collected from the profiles of 506 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 832. 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
#22,593
of 25,845,895 outputs
Outputs from Virologica Sinica
#3
of 684 outputs
Outputs of similar age
#345
of 313,059 outputs
Outputs of similar age from Virologica Sinica
#1
of 20 outputs
Altmetric has tracked 25,845,895 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 684 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. 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 313,059 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.