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Epidemiological Models with Non-Exponentially Distributed Disease Stages and Applications to Disease Control

Overview of attention for article published in Bulletin of Mathematical Biology, January 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
1 tweeter

Citations

dimensions_citation
87 Dimensions

Readers on

mendeley
68 Mendeley
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Title
Epidemiological Models with Non-Exponentially Distributed Disease Stages and Applications to Disease Control
Published in
Bulletin of Mathematical Biology, January 2007
DOI 10.1007/s11538-006-9174-9
Pubmed ID
Authors

Zhilan Feng, Dashun Xu, Haiyun Zhao

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
United Kingdom 2 3%
Vietnam 1 1%
Brazil 1 1%
Italy 1 1%
France 1 1%
Unknown 58 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 31%
Student > Ph. D. Student 16 24%
Lecturer 5 7%
Student > Doctoral Student 4 6%
Professor > Associate Professor 4 6%
Other 11 16%
Unknown 7 10%
Readers by discipline Count As %
Mathematics 21 31%
Agricultural and Biological Sciences 10 15%
Medicine and Dentistry 7 10%
Physics and Astronomy 3 4%
Social Sciences 3 4%
Other 9 13%
Unknown 15 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 October 2020.
All research outputs
#2,401,857
of 19,047,010 outputs
Outputs from Bulletin of Mathematical Biology
#70
of 957 outputs
Outputs of similar age
#61,131
of 298,900 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#8
of 37 outputs
Altmetric has tracked 19,047,010 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 957 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 92% 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 298,900 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 79% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.