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Choosing sensitivity analyses for randomised trials: principles

Overview of attention for article published in BMC Medical Research Methodology, January 2014
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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
17 Dimensions

Readers on

mendeley
45 Mendeley
citeulike
2 CiteULike
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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 45 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 41 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 29%
Student > Ph. D. Student 10 22%
Other 6 13%
Student > Master 4 9%
Student > Bachelor 1 2%
Other 7 16%
Unknown 4 9%
Readers by discipline Count As %
Medicine and Dentistry 16 36%
Mathematics 4 9%
Agricultural and Biological Sciences 3 7%
Computer Science 3 7%
Engineering 3 7%
Other 11 24%
Unknown 5 11%

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
#921,217
of 14,474,141 outputs
Outputs from BMC Medical Research Methodology
#138
of 1,333 outputs
Outputs of similar age
#16,435
of 250,410 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 14,474,141 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 1,333 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. 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 250,410 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