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Influenza and COVID-19 co-infection and vaccine effectiveness against severe cases: a mathematical modeling study

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, March 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
25 X users

Readers on

mendeley
2 Mendeley
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Title
Influenza and COVID-19 co-infection and vaccine effectiveness against severe cases: a mathematical modeling study
Published in
Frontiers in Cellular and Infection Microbiology, March 2024
DOI 10.3389/fcimb.2024.1347710
Pubmed ID
Authors

Jingyi Liang, Yangqianxi Wang, Zhijie Lin, Wei He, Jiaxi Sun, Qianyin Li, Mingyi Zhang, Zichen Chang, Yinqiu Guo, Wenting Zeng, Tie Liu, Zhiqi Zeng, Zifeng Yang, Chitin Hon

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 X users 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 21 March 2024.
All research outputs
#2,884,414
of 25,713,737 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#547
of 8,236 outputs
Outputs of similar age
#35,076
of 298,993 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#7
of 306 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 93% 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 298,993 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 88% of its contemporaries.
We're also able to compare this research output to 306 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.