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How to Understand “Herd Immunity” in COVID-19 Pandemic

Overview of attention for article published in Frontiers in Cell and Developmental Biology, September 2020
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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15 X users

Citations

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25 Dimensions

Readers on

mendeley
111 Mendeley
Title
How to Understand “Herd Immunity” in COVID-19 Pandemic
Published in
Frontiers in Cell and Developmental Biology, September 2020
DOI 10.3389/fcell.2020.547314
Pubmed ID
Authors

Yuanqing Xia, Lumin Zhong, Jingcong Tan, Zhiruo Zhang, Jiajun Lyu, Yiting Chen, Anda Zhao, Lili Huang, Zichong Long, Ning-Ning Liu, Hui Wang, Shenghui Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 18 16%
Researcher 14 13%
Student > Master 10 9%
Student > Postgraduate 9 8%
Other 6 5%
Other 13 12%
Unknown 41 37%
Readers by discipline Count As %
Medicine and Dentistry 20 18%
Nursing and Health Professions 12 11%
Biochemistry, Genetics and Molecular Biology 7 6%
Agricultural and Biological Sciences 5 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 20 18%
Unknown 43 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 12 March 2024.
All research outputs
#3,403,510
of 26,114,666 outputs
Outputs from Frontiers in Cell and Developmental Biology
#705
of 10,610 outputs
Outputs of similar age
#83,638
of 433,899 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#37
of 503 outputs
Altmetric has tracked 26,114,666 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,610 research outputs from this source. They receive a mean Attention Score of 4.3. 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 433,899 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 80% of its contemporaries.
We're also able to compare this research output to 503 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 92% of its contemporaries.