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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China

Overview of attention for article published in The Lancet, January 2020
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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 (#8 of 43,118)
  • 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

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39332 Dimensions

Readers on

mendeley
35014 Mendeley
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Title
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Published in
The Lancet, January 2020
DOI 10.1016/s0140-6736(20)30183-5
Pubmed ID
Authors

Chaolin Huang, Yeming Wang, Xingwang Li, Lili Ren, Jianping Zhao, Yi Hu, Li Zhang, Guohui Fan, Jiuyang Xu, Xiaoying Gu, Zhenshun Cheng, Ting Yu, Jiaan Xia, Yuan Wei, Wenjuan Wu, Xuelei Xie, Wen Yin, Hui Li, Min Liu, Yan Xiao, Hong Gao, Li Guo, Jungang Xie, Guangfa Wang, Rongmeng Jiang, Zhancheng Gao, Qi Jin, Jianwei Wang, Bin Cao

X Demographics

X Demographics

The data shown below were collected from the profiles of 13,635 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 35,014 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35014 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4558 13%
Student > Master 3433 10%
Researcher 3143 9%
Student > Ph. D. Student 2444 7%
Other 1915 5%
Other 6334 18%
Unknown 13187 38%
Readers by discipline Count As %
Medicine and Dentistry 7643 22%
Biochemistry, Genetics and Molecular Biology 2618 7%
Nursing and Health Professions 1621 5%
Agricultural and Biological Sciences 1149 3%
Immunology and Microbiology 1140 3%
Other 6299 18%
Unknown 14544 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14082. 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 15 May 2024.
All research outputs
#78
of 25,934,828 outputs
Outputs from The Lancet
#8
of 43,118 outputs
Outputs of similar age
#2
of 478,556 outputs
Outputs of similar age from The Lancet
#1
of 390 outputs
Altmetric has tracked 25,934,828 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 43,118 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 68.4. 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 478,556 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 390 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.