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Dynamical crises, multistability and the influence of the duration of immunity in a seasonally-forced model of disease transmission

Overview of attention for article published in Theoretical Biology and Medical Modelling, October 2014
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About this Attention Score

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

Mentioned by

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1 Google+ user

Citations

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9 Dimensions

Readers on

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34 Mendeley
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Title
Dynamical crises, multistability and the influence of the duration of immunity in a seasonally-forced model of disease transmission
Published in
Theoretical Biology and Medical Modelling, October 2014
DOI 10.1186/1742-4682-11-43
Pubmed ID
Authors

Mathew P Dafilis, Federico Frascoli, Jodie McVernon, Jane M Heffernan, James M McCaw

Abstract

Highly successful strategies to make populations more resilient to infectious diseases, such as childhood vaccinations programs, may nonetheless lead to unpredictable outcomes due to the interplay between seasonal variations in transmission and a population's immune status.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Australia 1 3%
Unknown 32 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 21%
Researcher 4 12%
Professor > Associate Professor 4 12%
Lecturer 3 9%
Student > Doctoral Student 3 9%
Other 5 15%
Unknown 8 24%
Readers by discipline Count As %
Mathematics 10 29%
Agricultural and Biological Sciences 4 12%
Social Sciences 3 9%
Environmental Science 2 6%
Psychology 2 6%
Other 6 18%
Unknown 7 21%
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 04 October 2014.
All research outputs
#15,306,972
of 22,765,347 outputs
Outputs from Theoretical Biology and Medical Modelling
#170
of 287 outputs
Outputs of similar age
#147,557
of 254,034 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#4
of 9 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 287 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 27th percentile – i.e., 27% 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 254,034 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.