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Excess mortality related to seasonal influenza and extreme temperatures in Denmark, 1994-2010

Overview of attention for article published in BMC Infectious Diseases, December 2011
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
5 tweeters

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Excess mortality related to seasonal influenza and extreme temperatures in Denmark, 1994-2010
Published in
BMC Infectious Diseases, December 2011
DOI 10.1186/1471-2334-11-350
Pubmed ID
Authors

Jens Nielsen, Anne Mazick, Steffen Glismann, Kåre Mølbak

Abstract

In temperate zones, all-cause mortality exhibits a marked seasonality, and one of the main causes of winter excess mortality is influenza. There is a tradition of using statistical models based on mortality from respiratory illnesses (Pneumonia and Influenza: PI) or all-cause mortality for estimating the number of deaths related to influenza. Different authors have applied different estimation methodologies. We estimated mortality related to influenza and periods with extreme temperatures in Denmark over the seasons 1994/95 to 2009/10.

Twitter Demographics

The data shown below were collected from the profiles of 5 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 2%
United States 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 18%
Researcher 8 16%
Student > Ph. D. Student 6 12%
Student > Bachelor 5 10%
Professor > Associate Professor 5 10%
Other 6 12%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 18 36%
Social Sciences 5 10%
Nursing and Health Professions 4 8%
Agricultural and Biological Sciences 3 6%
Mathematics 2 4%
Other 7 14%
Unknown 11 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 30 November 2020.
All research outputs
#2,061,368
of 19,529,814 outputs
Outputs from BMC Infectious Diseases
#586
of 6,786 outputs
Outputs of similar age
#20,175
of 233,545 outputs
Outputs of similar age from BMC Infectious Diseases
#18
of 243 outputs
Altmetric has tracked 19,529,814 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,786 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.7. This one has done particularly well, scoring higher than 91% 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 233,545 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 243 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.