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Severity-associated markers and assessment model for predicting the severity of COVID-19: a retrospective study in Hangzhou, China

Overview of attention for article published in BMC Infectious Diseases, August 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Severity-associated markers and assessment model for predicting the severity of COVID-19: a retrospective study in Hangzhou, China
Published in
BMC Infectious Diseases, August 2021
DOI 10.1186/s12879-021-06509-6
Pubmed ID
Authors

Jianjiang Qi, Di He, Dagan Yang, Mengyan Wang, Wenjun Ma, Huaizhong Cui, Fei Ye, Fei Wang, Jinjian Xu, Zhijian Li, Chuntao Liu, Jing Wu, Kexin Qi, Rui Wu, Jinsong Huang, Shourong Liu, Yimin Zhu

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 33%
Librarian 2 17%
Researcher 2 17%
Student > Master 1 8%
Unknown 3 25%
Readers by discipline Count As %
Medicine and Dentistry 3 25%
Social Sciences 2 17%
Biochemistry, Genetics and Molecular Biology 1 8%
Physics and Astronomy 1 8%
Nursing and Health Professions 1 8%
Other 2 17%
Unknown 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 10 August 2021.
All research outputs
#5,416,308
of 19,302,634 outputs
Outputs from BMC Infectious Diseases
#1,653
of 6,752 outputs
Outputs of similar age
#108,838
of 335,120 outputs
Outputs of similar age from BMC Infectious Diseases
#3
of 7 outputs
Altmetric has tracked 19,302,634 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 6,752 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.6. This one has gotten more attention than average, scoring higher than 74% 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 335,120 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.