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Overview of attention for article published in Emerging Themes in Epidemiology, January 2005
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 129)
  • High Attention Score compared to outputs of the same age (95th percentile)

Mentioned by

news
1 news outlet
blogs
2 blogs
twitter
6 tweeters

Citations

dimensions_citation
47 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Published in
Emerging Themes in Epidemiology, January 2005
DOI 10.1186/1742-7622-2-6
Pubmed ID
Authors

Phillip Zucs, Udo Buchholz, Walter Haas, Helmut Uphoff

Abstract

Influenza-associated excess mortality is widely used to assess the severity of influenza epidemics. In Germany, however, it is not yet established as a routine component of influenza surveillance. We therefore applied a simple method based on the annual distribution of monthly relative mortality (relative mortality distribution method, RMDM) to a time-series of German monthly all-cause mortality data from 1985-2001 to estimate influenza-associated excess mortality. Results were compared to those obtained by cyclical regression. Both methods distinguished stronger from milder influenza seasons, but RMDM gave the better fit (R2 = 0.80). For the years after reunification, i.e. 1990/91 through 2000/01, RMDM yielded an average of 6900 (conservative estimate) to 13,600 influenza-associated excess deaths per season (crude estimate). The most severe epidemics occurred during subtype A/H3N2 seasons. While German all-cause mortality declined over the study period, the number of excess deaths displayed an upward trend, coinciding with an increase of the proportion of the elderly population.

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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Estonia 1 3%
Germany 1 3%
Unknown 31 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Researcher 6 18%
Student > Doctoral Student 3 9%
Student > Postgraduate 3 9%
Student > Master 3 9%
Other 8 24%
Unknown 2 6%
Readers by discipline Count As %
Medicine and Dentistry 14 42%
Agricultural and Biological Sciences 3 9%
Immunology and Microbiology 3 9%
Social Sciences 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 6 18%
Unknown 2 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 30. 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 21 December 2020.
All research outputs
#817,574
of 17,361,274 outputs
Outputs from Emerging Themes in Epidemiology
#8
of 129 outputs
Outputs of similar age
#7,736
of 162,140 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#1
of 1 outputs
Altmetric has tracked 17,361,274 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 129 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. This one has done particularly well, scoring higher than 93% 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 162,140 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 95% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them