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Estimating the Prevalence of Asymptomatic COVID-19 Cases and Their Contribution in Transmission - Using Henan Province, China, as an Example

Overview of attention for article published in Frontiers in Medicine, June 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
26 Mendeley
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Title
Estimating the Prevalence of Asymptomatic COVID-19 Cases and Their Contribution in Transmission - Using Henan Province, China, as an Example
Published in
Frontiers in Medicine, June 2021
DOI 10.3389/fmed.2021.591372
Pubmed ID
Authors

Chunyu Li, Yuchen Zhu, Chang Qi, Lili Liu, Dandan Zhang, Xu Wang, Kaili She, Yan Jia, Tingxuan Liu, Daihai He, Momiao Xiong, Xiujun Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Student > Master 3 12%
Librarian 2 8%
Researcher 2 8%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 10 38%
Readers by discipline Count As %
Medicine and Dentistry 4 15%
Biochemistry, Genetics and Molecular Biology 3 12%
Agricultural and Biological Sciences 3 12%
Chemical Engineering 2 8%
Veterinary Science and Veterinary Medicine 1 4%
Other 5 19%
Unknown 8 31%
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 21 February 2022.
All research outputs
#13,423,124
of 23,172,045 outputs
Outputs from Frontiers in Medicine
#2,105
of 5,894 outputs
Outputs of similar age
#191,961
of 442,661 outputs
Outputs of similar age from Frontiers in Medicine
#149
of 407 outputs
Altmetric has tracked 23,172,045 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,894 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 442,661 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 55% of its contemporaries.
We're also able to compare this research output to 407 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 61% of its contemporaries.