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Computation of Antigenicity Predicts SARS-CoV-2 Vaccine Breakthrough Variants

Overview of attention for article published in Frontiers in immunology, March 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)
  • Good Attention Score compared to outputs of the same age and source (65th percentile)

Mentioned by

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7 X users

Citations

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13 Dimensions

Readers on

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29 Mendeley
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Title
Computation of Antigenicity Predicts SARS-CoV-2 Vaccine Breakthrough Variants
Published in
Frontiers in immunology, March 2022
DOI 10.3389/fimmu.2022.861050
Pubmed ID
Authors

Ye-Fan Hu, Jing-Chu Hu, Hua-Rui Gong, Antoine Danchin, Ren Sun, Hin Chu, Ivan Fan-Ngai Hung, Kwok Yung Yuen, Kelvin Kai-Wang To, Bao-Zhong Zhang, Thomas Yau, Jian-Dong Huang

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 21%
Student > Bachelor 4 14%
Student > Ph. D. Student 4 14%
Student > Master 2 7%
Professor > Associate Professor 1 3%
Other 1 3%
Unknown 11 38%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Immunology and Microbiology 3 10%
Agricultural and Biological Sciences 2 7%
Biochemistry, Genetics and Molecular Biology 2 7%
Arts and Humanities 1 3%
Other 2 7%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 May 2022.
All research outputs
#14,776,768
of 26,166,431 outputs
Outputs from Frontiers in immunology
#11,858
of 33,003 outputs
Outputs of similar age
#186,274
of 452,095 outputs
Outputs of similar age from Frontiers in immunology
#554
of 1,657 outputs
Altmetric has tracked 26,166,431 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 33,003 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has gotten more attention than average, scoring higher than 63% 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 452,095 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 58% of its contemporaries.
We're also able to compare this research output to 1,657 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.