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Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins

Overview of attention for article published in Nature, March 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • 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
922 Dimensions

Readers on

mendeley
1595 Mendeley
Title
Identifying SARS-CoV-2-related coronaviruses in Malayan pangolins
Published in
Nature, March 2020
DOI 10.1038/s41586-020-2169-0
Pubmed ID
Authors

Tommy Tsan-Yuk Lam, Na Jia, Ya-Wei Zhang, Marcus Ho-Hin Shum, Jia-Fu Jiang, Hua-Chen Zhu, Yi-Gang Tong, Yong-Xia Shi, Xue-Bing Ni, Yun-Shi Liao, Wen-Juan Li, Bao-Gui Jiang, Wei, Ting-Ting Yuan, Kui Zheng, Xiao-Ming Cui, Jie Li, Guang-Qian Pei, Xin Qiang, William Yiu-Man Cheung, Lian-Feng Li, Fang-Fang Sun, Si Qin, Ji-Cheng Huang, Gabriel M. Leung, Edward C. Holmes, Yan-Ling Hu, Yi Guan, Wu-Chun Cao

Twitter Demographics

The data shown below were collected from the profiles of 3,382 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1,595 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1595 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 240 15%
Researcher 218 14%
Student > Ph. D. Student 176 11%
Student > Master 174 11%
Other 84 5%
Other 295 18%
Unknown 408 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 256 16%
Medicine and Dentistry 220 14%
Agricultural and Biological Sciences 160 10%
Immunology and Microbiology 89 6%
Veterinary Science and Veterinary Medicine 53 3%
Other 338 21%
Unknown 479 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 4033. 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 19 September 2021.
All research outputs
#761
of 18,964,669 outputs
Outputs from Nature
#89
of 82,915 outputs
Outputs of similar age
#88
of 284,061 outputs
Outputs of similar age from Nature
#6
of 843 outputs
Altmetric has tracked 18,964,669 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 82,915 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.4. 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 284,061 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 843 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.