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Natural transmission of bat-like SARS-CoV-2PRRA variants in COVID-19 patients

Overview of attention for article published in Clinical Infectious Diseases, July 2020
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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 (89th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

news
2 news outlets
twitter
6 X users

Readers on

mendeley
43 Mendeley
Title
Natural transmission of bat-like SARS-CoV-2PRRA variants in COVID-19 patients
Published in
Clinical Infectious Diseases, July 2020
DOI 10.1093/cid/ciaa953
Pubmed ID
Authors

Yik Chun Wong, Siu Ying Lau, Kelvin Kai Wang To, Bobo Wing Yee Mok, Xin Li, Pui Wang, Shaofeng Deng, Kin Fai Woo, Zhenglong Du, Cun Li, Jie Zhou, Jasper Fuk Woo Chan, Kwok Yung Yuen, Honglin Chen, Zhiwei Chen

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Master 3 7%
Student > Ph. D. Student 3 7%
Professor > Associate Professor 2 5%
Student > Bachelor 2 5%
Other 4 9%
Unknown 23 53%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 16%
Agricultural and Biological Sciences 3 7%
Nursing and Health Professions 2 5%
Immunology and Microbiology 2 5%
Medicine and Dentistry 2 5%
Other 4 9%
Unknown 23 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 06 January 2022.
All research outputs
#1,652,057
of 25,010,497 outputs
Outputs from Clinical Infectious Diseases
#2,878
of 16,675 outputs
Outputs of similar age
#43,947
of 403,182 outputs
Outputs of similar age from Clinical Infectious Diseases
#149
of 486 outputs
Altmetric has tracked 25,010,497 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 16,675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.6. This one has done well, scoring higher than 82% 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 403,182 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 89% of its contemporaries.
We're also able to compare this research output to 486 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.