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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Categorisation of continuous covariates for stratified randomisation: How should we adjust?
|
---|---|
Published in |
Statistics in Medicine, March 2024
|
DOI | 10.1002/sim.10060 |
Pubmed ID | |
Authors |
Thomas R. Sullivan, Tim P. Morris, Brennan C. Kahan, Alana R. Cuthbert, Lisa N. Yelland |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 9 | 17% |
United States | 9 | 17% |
Italy | 3 | 6% |
Canada | 2 | 4% |
Colombia | 2 | 4% |
France | 1 | 2% |
Antarctica | 1 | 2% |
India | 1 | 2% |
Netherlands | 1 | 2% |
Other | 1 | 2% |
Unknown | 22 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 24 | 46% |
Members of the public | 22 | 42% |
Practitioners (doctors, other healthcare professionals) | 5 | 10% |
Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Professor > Associate Professor | 2 | 14% |
Researcher | 2 | 14% |
Student > Bachelor | 1 | 7% |
Other | 3 | 21% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 4 | 29% |
Medicine and Dentistry | 3 | 21% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 7% |
Unspecified | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Other | 1 | 7% |
Unknown | 3 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. 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 April 2024.
All research outputs
#1,526,933
of 26,744,914 outputs
Outputs from Statistics in Medicine
#99
of 4,211 outputs
Outputs of similar age
#25,469
of 360,418 outputs
Outputs of similar age from Statistics in Medicine
#1
of 35 outputs
Altmetric has tracked 26,744,914 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,211 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done particularly well, scoring higher than 97% 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 360,418 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 92% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.