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Global stability of an SEIR epidemic model where empirical distribution of incubation period is approximated by Coxian distribution

Overview of attention for article published in Advances in Continuous and Discrete Models, November 2019
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Citations

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19 Mendeley
Title
Global stability of an SEIR epidemic model where empirical distribution of incubation period is approximated by Coxian distribution
Published in
Advances in Continuous and Discrete Models, November 2019
DOI 10.1186/s13662-019-2405-9
Authors

Sungchan Kim, Jong Hyuk Byun, Il Hyo Jung

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 26%
Student > Master 3 16%
Professor 2 11%
Researcher 2 11%
Other 1 5%
Other 1 5%
Unknown 5 26%
Readers by discipline Count As %
Mathematics 3 16%
Medicine and Dentistry 3 16%
Business, Management and Accounting 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Economics, Econometrics and Finance 1 5%
Other 1 5%
Unknown 9 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 14 June 2019.
All research outputs
#20,667,544
of 25,385,509 outputs
Outputs from Advances in Continuous and Discrete Models
#101
of 189 outputs
Outputs of similar age
#285,635
of 374,997 outputs
Outputs of similar age from Advances in Continuous and Discrete Models
#4
of 6 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 189 research outputs from this source. They receive a mean Attention Score of 1.6. This one is in the 31st percentile – i.e., 31% of its peers scored the same or lower than it.
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 374,997 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.