↓ Skip to main content

Choosing sensitivity analyses for randomised trials: principles

Overview of attention for article published in BMC Medical Research Methodology, January 2014
Altmetric Badge

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 (93rd percentile)

Mentioned by

twitter
35 tweeters

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
44 Mendeley
citeulike
2 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
Choosing sensitivity analyses for randomised trials: principles
Published in
BMC Medical Research Methodology, January 2014
DOI 10.1186/1471-2288-14-11
Pubmed ID
Authors

Tim P Morris, Brennan C Kahan, Ian R White

Abstract

Sensitivity analyses are an important tool for understanding the extent to which the results of randomised trials depend upon the assumptions of the analysis. There is currently no guidance governing the choice of sensitivity analyses.

Twitter Demographics

The data shown below were collected from the profiles of 35 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
South Africa 1 2%
Qatar 1 2%
Switzerland 1 2%
Unknown 40 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 30%
Student > Ph. D. Student 10 23%
Other 6 14%
Student > Master 3 7%
Professor 1 2%
Other 6 14%
Unknown 5 11%
Readers by discipline Count As %
Medicine and Dentistry 15 34%
Mathematics 4 9%
Engineering 3 7%
Computer Science 3 7%
Agricultural and Biological Sciences 3 7%
Other 10 23%
Unknown 6 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 08 February 2020.
All research outputs
#892,356
of 14,330,165 outputs
Outputs from BMC Medical Research Methodology
#132
of 1,319 outputs
Outputs of similar age
#16,072
of 249,699 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 14,330,165 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,319 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 89% 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 249,699 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them