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Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus

Overview of attention for article published in PLoS Pathogens, November 2017
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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 (#1 of 9,589)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

dimensions_citation
783 Dimensions

Readers on

mendeley
1235 Mendeley
citeulike
1 CiteULike
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Title
Discovery of a rich gene pool of bat SARS-related coronaviruses provides new insights into the origin of SARS coronavirus
Published in
PLoS Pathogens, November 2017
DOI 10.1371/journal.ppat.1006698
Pubmed ID
Authors

Ben Hu, Lei-Ping Zeng, Xing-Lou Yang, Xing-Yi Ge, Wei Zhang, Bei Li, Jia-Zheng Xie, Xu-Rui Shen, Yun-Zhi Zhang, Ning Wang, Dong-Sheng Luo, Xiao-Shuang Zheng, Mei-Niang Wang, Peter Daszak, Lin-Fa Wang, Jie Cui, Zheng-Li Shi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3,795 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 1,235 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1235 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 186 15%
Student > Ph. D. Student 148 12%
Student > Bachelor 141 11%
Student > Master 128 10%
Other 79 6%
Other 205 17%
Unknown 348 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 205 17%
Medicine and Dentistry 134 11%
Agricultural and Biological Sciences 123 10%
Immunology and Microbiology 86 7%
Environmental Science 31 3%
Other 252 20%
Unknown 404 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4595. 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 20 May 2024.
All research outputs
#959
of 25,956,379 outputs
Outputs from PLoS Pathogens
#1
of 9,589 outputs
Outputs of similar age
#6
of 449,834 outputs
Outputs of similar age from PLoS Pathogens
#1
of 148 outputs
Altmetric has tracked 25,956,379 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 9,589 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. 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 449,834 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 148 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 99% of its contemporaries.