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A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model

Overview of attention for article published in Frontiers in Public Health, May 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 (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

news
1 news outlet
twitter
8 X users

Citations

dimensions_citation
277 Dimensions

Readers on

mendeley
411 Mendeley
Title
A Simulation of a COVID-19 Epidemic Based on a Deterministic SEIR Model
Published in
Frontiers in Public Health, May 2020
DOI 10.3389/fpubh.2020.00230
Pubmed ID
Authors

José M. Carcione, Juan E. Santos, Claudio Bagaini, Jing Ba

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 411 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 411 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 51 12%
Student > Master 49 12%
Researcher 45 11%
Student > Ph. D. Student 25 6%
Student > Doctoral Student 16 4%
Other 66 16%
Unknown 159 39%
Readers by discipline Count As %
Computer Science 38 9%
Medicine and Dentistry 36 9%
Mathematics 34 8%
Engineering 30 7%
Environmental Science 13 3%
Other 80 19%
Unknown 180 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 03 May 2022.
All research outputs
#2,620,454
of 25,998,826 outputs
Outputs from Frontiers in Public Health
#1,236
of 14,390 outputs
Outputs of similar age
#70,465
of 433,629 outputs
Outputs of similar age from Frontiers in Public Health
#42
of 199 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,390 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 91% 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 433,629 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 83% of its contemporaries.
We're also able to compare this research output to 199 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.