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Model-based estimation of measures of association for time-to-event outcomes

Overview of attention for article published in BMC Medical Research Methodology, August 2014
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Model-based estimation of measures of association for time-to-event outcomes
Published in
BMC Medical Research Methodology, August 2014
DOI 10.1186/1471-2288-14-97
Pubmed ID
Authors

Federico Ambrogi, Elia Biganzoli, Patrizia Boracchi

Abstract

Hazard ratios are ubiquitously used in time to event applications to quantify adjusted covariate effects. Although hazard ratios are invaluable for hypothesis testing, other adjusted measures of association, both relative and absolute, should be provided to fully appreciate studies results. The corrected group prognosis method is generally used to estimate the absolute risk reduction and the number needed to be treated for categorical covariates.

Twitter Demographics

The data shown below were collected from the profiles of 4 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 5%
Taiwan 1 5%
Unknown 19 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 33%
Professor > Associate Professor 5 24%
Student > Ph. D. Student 2 10%
Student > Master 1 5%
Other 1 5%
Other 2 10%
Unknown 3 14%
Readers by discipline Count As %
Medicine and Dentistry 12 57%
Philosophy 1 5%
Mathematics 1 5%
Economics, Econometrics and Finance 1 5%
Computer Science 1 5%
Other 2 10%
Unknown 3 14%

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 21 May 2016.
All research outputs
#13,411,291
of 22,760,687 outputs
Outputs from BMC Medical Research Methodology
#1,280
of 2,009 outputs
Outputs of similar age
#109,614
of 230,541 outputs
Outputs of similar age from BMC Medical Research Methodology
#11
of 22 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,009 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.2. This one is in the 33rd percentile – i.e., 33% 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 230,541 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.