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Improving epidemiologic data analyses through multivariate regression modelling

Overview of attention for article published in Emerging Themes in Epidemiology, May 2013
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 X users

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
114 Mendeley
citeulike
4 CiteULike
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Title
Improving epidemiologic data analyses through multivariate regression modelling
Published in
Emerging Themes in Epidemiology, May 2013
DOI 10.1186/1742-7622-10-4
Pubmed ID
Authors

Fraser I Lewis, Michael P Ward

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

Geographical breakdown

Country Count As %
Mexico 1 <1%
United States 1 <1%
Switzerland 1 <1%
Unknown 111 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 27 24%
Student > Ph. D. Student 17 15%
Student > Master 12 11%
Student > Doctoral Student 8 7%
Student > Bachelor 6 5%
Other 21 18%
Unknown 23 20%
Readers by discipline Count As %
Medicine and Dentistry 30 26%
Agricultural and Biological Sciences 13 11%
Veterinary Science and Veterinary Medicine 12 11%
Mathematics 6 5%
Biochemistry, Genetics and Molecular Biology 5 4%
Other 24 21%
Unknown 24 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 April 2020.
All research outputs
#16,608,199
of 25,223,158 outputs
Outputs from Emerging Themes in Epidemiology
#118
of 154 outputs
Outputs of similar age
#122,826
of 201,865 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#2
of 3 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 154 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 22nd percentile – i.e., 22% 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 201,865 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.