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A diagnostic model for serious COVID-19 infection among older adults in Shanghai during the Omicron wave

Overview of attention for article published in Frontiers in Medicine, December 2022
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Mentioned by

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1 X user

Citations

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5 Dimensions

Readers on

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8 Mendeley
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Title
A diagnostic model for serious COVID-19 infection among older adults in Shanghai during the Omicron wave
Published in
Frontiers in Medicine, December 2022
DOI 10.3389/fmed.2022.1018516
Pubmed ID
Authors

Suxia Bao, Guanzhu Lu, Yaoyue Kang, Yuanyuan Zhou, Yuhuan Wang, Lei Yan, Donglin Yin, Yujie Bao, Xiaoling Yuan, Jie Xu

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Librarian 1 13%
Other 1 13%
Student > Postgraduate 1 13%
Lecturer > Senior Lecturer 1 13%
Unknown 4 50%
Readers by discipline Count As %
Arts and Humanities 1 13%
Nursing and Health Professions 1 13%
Medicine and Dentistry 1 13%
Engineering 1 13%
Unknown 4 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 December 2022.
All research outputs
#18,869,783
of 23,383,275 outputs
Outputs from Frontiers in Medicine
#4,177
of 5,998 outputs
Outputs of similar age
#296,680
of 432,991 outputs
Outputs of similar age from Frontiers in Medicine
#277
of 440 outputs
Altmetric has tracked 23,383,275 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,998 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.5. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 432,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 440 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.