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Statistical estimates of absenteeism attributable to seasonal and pandemic influenza from the Canadian Labour Force Survey

Overview of attention for article published in BMC Infectious Diseases, April 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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

policy
2 policy sources
twitter
3 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
61 Mendeley
citeulike
1 CiteULike
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Title
Statistical estimates of absenteeism attributable to seasonal and pandemic influenza from the Canadian Labour Force Survey
Published in
BMC Infectious Diseases, April 2011
DOI 10.1186/1471-2334-11-90
Pubmed ID
Authors

Dena L Schanzer, Hui Zheng, Jason Gilmore

Abstract

As many respiratory viruses are responsible for influenza like symptoms, accurate measures of the disease burden are not available and estimates are generally based on statistical methods. The objective of this study was to estimate absenteeism rates and hours lost due to seasonal influenza and compare these estimates with estimates of absenteeism attributable to the two H1N1 pandemic waves that occurred in 2009.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Canada 2 3%
Unknown 57 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 21%
Student > Ph. D. Student 8 13%
Student > Master 8 13%
Student > Bachelor 8 13%
Professor > Associate Professor 3 5%
Other 9 15%
Unknown 12 20%
Readers by discipline Count As %
Medicine and Dentistry 18 30%
Agricultural and Biological Sciences 4 7%
Social Sciences 4 7%
Economics, Econometrics and Finance 4 7%
Nursing and Health Professions 2 3%
Other 13 21%
Unknown 16 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 22 August 2023.
All research outputs
#2,959,519
of 24,302,917 outputs
Outputs from BMC Infectious Diseases
#938
of 8,131 outputs
Outputs of similar age
#13,413
of 112,476 outputs
Outputs of similar age from BMC Infectious Diseases
#6
of 43 outputs
Altmetric has tracked 24,302,917 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,131 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 88% 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 112,476 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 87% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.