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Mathematical Modeling Predicts That Strict Social Distancing Measures Would Be Needed to Shorten the Duration of Waves of COVID-19 Infections in Vietnam

Overview of attention for article published in Frontiers in Public Health, January 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Mathematical Modeling Predicts That Strict Social Distancing Measures Would Be Needed to Shorten the Duration of Waves of COVID-19 Infections in Vietnam
Published in
Frontiers in Public Health, January 2021
DOI 10.3389/fpubh.2020.559693
Pubmed ID
Authors

Anass Bouchnita, Abdennasser Chekroun, Aissam Jebrane

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 10%
Researcher 4 10%
Other 3 8%
Student > Postgraduate 3 8%
Student > Master 3 8%
Other 9 23%
Unknown 14 35%
Readers by discipline Count As %
Mathematics 5 13%
Medicine and Dentistry 4 10%
Nursing and Health Professions 2 5%
Environmental Science 2 5%
Neuroscience 2 5%
Other 8 20%
Unknown 17 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 01 February 2021.
All research outputs
#5,887,381
of 23,277,141 outputs
Outputs from Frontiers in Public Health
#1,946
of 10,749 outputs
Outputs of similar age
#143,951
of 505,211 outputs
Outputs of similar age from Frontiers in Public Health
#115
of 396 outputs
Altmetric has tracked 23,277,141 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 10,749 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done well, scoring higher than 81% 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 505,211 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 71% of its contemporaries.
We're also able to compare this research output to 396 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 70% of its contemporaries.