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Prediction of population with Alzheimer's disease in the European Union using a system dynamics model

Overview of attention for article published in Neuropsychiatric Disease and Treatment, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet
twitter
6 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
57 Mendeley
Title
Prediction of population with Alzheimer's disease in the European Union using a system dynamics model
Published in
Neuropsychiatric Disease and Treatment, June 2016
DOI 10.2147/ndt.s107969
Pubmed ID
Authors

Kamil Kuca, Jitka Kuhnova, Richard Cimler, Ondrej Dolezal, Hana Tomaskova

Abstract

Alzheimer's disease (AD) is a slowly progressing neurodegenerative brain disease with irreversible brain effects; it is the most common cause of dementia. With increasing age, the probability of suffering from AD increases. In this research, population growth of the European Union (EU) until the year 2080 and the number of patients with AD are modeled. The aim of this research is to predict the spread of AD in the EU population until year 2080 using a computer simulation. For the simulation of the EU population and the occurrence of AD in this population, a system dynamics modeling approach has been used. System dynamics is a useful and effective method for the investigation of complex social systems. Over the past decades, its applicability has been demonstrated in a wide variety of applications. In this research, this method has been used to investigate the growth of the EU population and predict the number of patients with AD. The model has been calibrated on the population prediction data created by Eurostat. Based on data from Eurostat, the EU population until year 2080 has been modeled. In 2013, the population of the EU was 508 million and the number of patients with AD was 7.5 million. Based on the prediction, in 2040, the population of the EU will be 524 million and the number of patients with AD will be 13.1 million. By the year 2080, the EU population will be 520 million and the number of patients with AD will be 13.7 million. System dynamics modeling approach has been used for the prediction of the number of patients with AD in the EU population till the year 2080. These results can be used to determine the economic burden of the treatment of these patients. With different input data, the simulation can be used also for the different regions as well as for different noncontagious disease predictions.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters 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 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 21%
Researcher 7 12%
Student > Bachelor 7 12%
Other 6 11%
Student > Master 6 11%
Other 6 11%
Unknown 13 23%
Readers by discipline Count As %
Neuroscience 7 12%
Engineering 6 11%
Medicine and Dentistry 5 9%
Business, Management and Accounting 4 7%
Social Sciences 4 7%
Other 17 30%
Unknown 14 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 23 July 2016.
All research outputs
#1,267,486
of 14,533,317 outputs
Outputs from Neuropsychiatric Disease and Treatment
#170
of 2,442 outputs
Outputs of similar age
#30,913
of 262,037 outputs
Outputs of similar age from Neuropsychiatric Disease and Treatment
#10
of 98 outputs
Altmetric has tracked 14,533,317 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,442 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. 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 262,037 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 88% of its contemporaries.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.