↓ Skip to main content

Improving epidemiologic data analyses through multivariate regression modelling

Overview of attention for article published in Emerging Themes in Epidemiology, May 2013
Altmetric Badge

Mentioned by

twitter
2 tweeters

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
4 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 2 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 72 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%
Canada 1 1%
Switzerland 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 26%
Student > Ph. D. Student 11 15%
Student > Master 9 13%
Student > Doctoral Student 7 10%
Professor > Associate Professor 6 8%
Other 11 15%
Unknown 9 13%
Readers by discipline Count As %
Medicine and Dentistry 22 31%
Agricultural and Biological Sciences 10 14%
Veterinary Science and Veterinary Medicine 9 13%
Social Sciences 4 6%
Nursing and Health Professions 3 4%
Other 13 18%
Unknown 11 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 August 2019.
All research outputs
#11,071,294
of 14,574,743 outputs
Outputs from Emerging Themes in Epidemiology
#100
of 114 outputs
Outputs of similar age
#267,635
of 403,332 outputs
Outputs of similar age from Emerging Themes in Epidemiology
#8
of 10 outputs
Altmetric has tracked 14,574,743 research outputs across all sources so far. This one is in the 20th percentile – i.e., 20% of other outputs scored the same or lower than it.
So far Altmetric has tracked 114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. This one is in the 12th percentile – i.e., 12% 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 403,332 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.