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Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies

Overview of attention for article published in International Journal of Epidemiology, May 2010
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Article details
Title
Statistical methods for the time-to-event analysis of individual participant data from multiple epidemiological studies
Published in
International Journal of Epidemiology, May 2010
DOI 10.1093/ije/dyq063
Pubmed ID
Authors

Simon Thompson, Stephen Kaptoge, Ian White, Angela Wood, Philip Perry, John Danesh, The Emerging Risk Factors Collaboration

Abstract

Meta-analysis of individual participant time-to-event data from multiple prospective epidemiological studies enables detailed investigation of exposure-risk relationships, but involves a number of analytical challenges.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 173 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 6 3%
United States 3 2%
Mexico 2 1%
France 2 1%
Japan 1 <1%
Italy 1 <1%
Iceland 1 <1%
Spain 1 <1%
Denmark 1 <1%
Other 1 <1%
Unknown 154 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 48 28%
Student > Ph. D. Student 23 13%
Professor 21 12%
Professor > Associate Professor 11 6%
Other 10 6%
Other 33 19%
Unknown 27 16%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 68 39%
Agricultural and Biological Sciences 16 9%
Mathematics 11 6%
Engineering 8 5%
Social Sciences 6 3%
Other 18 10%
Unknown 46 27%
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 20 March 2016.
All research outputs
#15,563,090
of 25,837,817 outputs
Outputs from International Journal of Epidemiology
#4,802
of 5,986 outputs
Outputs of similar age
#84,875
of 108,692 outputs
Outputs of similar age from International Journal of Epidemiology
#42
of 46 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,986 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.0. This one is in the 18th percentile – i.e., 18% 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 108,692 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.