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PopMod: a longitudinal population model with two interacting disease states

Overview of attention for article published in Cost Effectiveness and Resource Allocation, February 2003
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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 (71st percentile)

Mentioned by

policy
1 policy source
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
55 Mendeley
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Title
PopMod: a longitudinal population model with two interacting disease states
Published in
Cost Effectiveness and Resource Allocation, February 2003
DOI 10.1186/1478-7547-1-6
Pubmed ID
Authors

Jeremy A Lauer, Klaus Röhrich, Harald Wirth, Claude Charette, Steve Gribble, Christopher JL Murray

Abstract

This article provides a description of the population model PopMod, which is designed to simulate the health and mortality experience of an arbitrary population subjected to two interacting disease conditions as well as all other "background" causes of death and disability. Among population models with a longitudinal dimension, PopMod is unique in modelling two interacting disease conditions; among the life-table family of population models, PopMod is unique in not assuming statistical independence of the diseases of interest, as well as in modelling age and time independently. Like other multi-state models, however, PopMod takes account of "competing risk" among diseases and causes of death.PopMod represents a new level of complexity among both generic population models and the family of multi-state life tables. While one of its intended uses is to describe the time evolution of population health for standard demographic purposes (e.g. estimates of healthy life expectancy), another prominent aim is to provide a standard measure of effectiveness for intervention and cost-effectiveness analysis. PopMod, and a set of related standard approaches to disease modelling and cost-effectiveness analysis, will facilitate disease modelling and cost-effectiveness analysis in diverse settings and help make results more comparable.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 4%
United States 1 2%
Canada 1 2%
Australia 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 20%
Professor 9 16%
Researcher 7 13%
Student > Doctoral Student 5 9%
Student > Master 5 9%
Other 12 22%
Unknown 6 11%
Readers by discipline Count As %
Medicine and Dentistry 21 38%
Social Sciences 3 5%
Environmental Science 3 5%
Economics, Econometrics and Finance 2 4%
Philosophy 2 4%
Other 12 22%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 January 2022.
All research outputs
#5,446,629
of 25,373,627 outputs
Outputs from Cost Effectiveness and Resource Allocation
#191
of 533 outputs
Outputs of similar age
#10,251
of 62,107 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#3
of 4 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 533 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.9. This one has gotten more attention than average, scoring higher than 62% 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 62,107 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.