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The impact of demographic change on the estimated future burden of infectious diseases: examples from hepatitis B and seasonal influenza in the Netherlands

Overview of attention for article published in BMC Public Health, December 2012
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Mentioned by

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4 X users
facebook
1 Facebook page

Citations

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16 Dimensions

Readers on

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71 Mendeley
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Title
The impact of demographic change on the estimated future burden of infectious diseases: examples from hepatitis B and seasonal influenza in the Netherlands
Published in
BMC Public Health, December 2012
DOI 10.1186/1471-2458-12-1046
Pubmed ID
Authors

Scott A McDonald, Alies van Lier, Dietrich Plass, Mirjam EE Kretzschmar

Abstract

For accurate estimation of the future burden of communicable diseases, the dynamics of the population at risk - namely population growth and population ageing - need to be taken into account. Accurate burden estimates are necessary for informing policy-makers regarding the planning of vaccination and other control, intervention, and prevention measures. Our aim was to qualitatively explore the impact of population ageing on the estimated future burden of seasonal influenza and hepatitis B virus (HBV) infection in the Netherlands, in the period 2000-2030.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Spain 1 1%
Italy 1 1%
Australia 1 1%
Unknown 67 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Master 14 20%
Student > Bachelor 9 13%
Student > Ph. D. Student 7 10%
Professor 3 4%
Other 13 18%
Unknown 8 11%
Readers by discipline Count As %
Medicine and Dentistry 20 28%
Psychology 7 10%
Social Sciences 6 8%
Agricultural and Biological Sciences 4 6%
Nursing and Health Professions 4 6%
Other 16 23%
Unknown 14 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 07 March 2013.
All research outputs
#12,804,794
of 22,689,790 outputs
Outputs from BMC Public Health
#8,820
of 14,763 outputs
Outputs of similar age
#150,723
of 277,751 outputs
Outputs of similar age from BMC Public Health
#144
of 297 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,763 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 39th percentile – i.e., 39% 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 277,751 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 297 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.