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Mathematical epidemiology: Past, present, and future

Overview of attention for article published in Infectious Disease Modelling, February 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 291)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
4 news outlets
blogs
1 blog
twitter
58 X users
wikipedia
2 Wikipedia pages
q&a
1 Q&A thread

Citations

dimensions_citation
307 Dimensions

Readers on

mendeley
399 Mendeley
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Title
Mathematical epidemiology: Past, present, and future
Published in
Infectious Disease Modelling, February 2017
DOI 10.1016/j.idm.2017.02.001
Pubmed ID
Authors

Fred Brauer

Abstract

We give a brief outline of some of the important aspects of the development of mathematical epidemiology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 58 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 399 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Unknown 397 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 16%
Student > Master 54 14%
Student > Bachelor 44 11%
Researcher 38 10%
Student > Doctoral Student 15 4%
Other 63 16%
Unknown 120 30%
Readers by discipline Count As %
Mathematics 64 16%
Engineering 26 7%
Medicine and Dentistry 22 6%
Agricultural and Biological Sciences 21 5%
Biochemistry, Genetics and Molecular Biology 17 4%
Other 101 25%
Unknown 148 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 87. 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 06 April 2023.
All research outputs
#495,572
of 25,651,057 outputs
Outputs from Infectious Disease Modelling
#7
of 291 outputs
Outputs of similar age
#10,756
of 426,885 outputs
Outputs of similar age from Infectious Disease Modelling
#1
of 7 outputs
Altmetric has tracked 25,651,057 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 291 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.7. This one has done particularly well, scoring higher than 97% 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 426,885 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them