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How to Deal With Vaccine Breakthrough Infection With SARS-CoV-2 Variants

Overview of attention for article published in Frontiers in Public Health, March 2022
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1 X user

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14 Mendeley
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Title
How to Deal With Vaccine Breakthrough Infection With SARS-CoV-2 Variants
Published in
Frontiers in Public Health, March 2022
DOI 10.3389/fpubh.2022.842303
Pubmed ID
Authors

Ying Guo, Jun Meng, Caide Liu, Guosheng Chen, Yuhua Chi, Shiliang Zheng, Haixia Wang

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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 21%
Researcher 2 14%
Lecturer 2 14%
Student > Master 1 7%
Unknown 6 43%
Readers by discipline Count As %
Medicine and Dentistry 5 36%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Environmental Science 1 7%
Biochemistry, Genetics and Molecular Biology 1 7%
Engineering 1 7%
Other 0 0%
Unknown 5 36%
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 15 March 2022.
All research outputs
#20,743,007
of 23,342,232 outputs
Outputs from Frontiers in Public Health
#8,003
of 10,878 outputs
Outputs of similar age
#363,520
of 443,131 outputs
Outputs of similar age from Frontiers in Public Health
#685
of 993 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,878 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one is in the 1st percentile – i.e., 1% 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 443,131 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 993 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.