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Clinical Symptom Differences Between Mild and Severe COVID-19 Patients in China: A Meta-Analysis

Overview of attention for article published in Frontiers in Public Health, January 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

blogs
1 blog
twitter
2 X users

Citations

dimensions_citation
73 Dimensions

Readers on

mendeley
196 Mendeley
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Title
Clinical Symptom Differences Between Mild and Severe COVID-19 Patients in China: A Meta-Analysis
Published in
Frontiers in Public Health, January 2021
DOI 10.3389/fpubh.2020.561264
Pubmed ID
Authors

Xiaobo He, Xiao Cheng, Xudong Feng, Hong Wan, Sihan Chen, Maoming Xiong

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 196 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 12%
Student > Bachelor 22 11%
Researcher 15 8%
Student > Doctoral Student 8 4%
Student > Ph. D. Student 8 4%
Other 30 15%
Unknown 90 46%
Readers by discipline Count As %
Medicine and Dentistry 36 18%
Biochemistry, Genetics and Molecular Biology 15 8%
Nursing and Health Professions 14 7%
Immunology and Microbiology 7 4%
Neuroscience 6 3%
Other 19 10%
Unknown 99 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 February 2021.
All research outputs
#4,087,878
of 23,275,636 outputs
Outputs from Frontiers in Public Health
#1,490
of 10,749 outputs
Outputs of similar age
#109,807
of 506,073 outputs
Outputs of similar age from Frontiers in Public Health
#84
of 396 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 86% 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 506,073 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 78% of its contemporaries.
We're also able to compare this research output to 396 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.