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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations
|
---|---|
Published in |
Statistical Science, May 2023
|
DOI | 10.1214/22-sts865 |
Pubmed ID | |
Authors |
David S. Robertson, Kim May Lee, Boryana C. López-Kolkovska, Sofía S. Villar |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 25% |
Hong Kong | 1 | 4% |
Canada | 1 | 4% |
France | 1 | 4% |
India | 1 | 4% |
United States | 1 | 4% |
Antarctica | 1 | 4% |
China | 1 | 4% |
Unknown | 11 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 50% |
Scientists | 9 | 38% |
Practitioners (doctors, other healthcare professionals) | 2 | 8% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 55 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 24% |
Student > Ph. D. Student | 6 | 11% |
Other | 5 | 9% |
Student > Bachelor | 2 | 4% |
Student > Master | 2 | 4% |
Other | 2 | 4% |
Unknown | 25 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Mathematics | 13 | 24% |
Medicine and Dentistry | 5 | 9% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Unspecified | 1 | 2% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 4 | 7% |
Unknown | 29 | 53% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 01 August 2024.
All research outputs
#1,731,013
of 26,737,020 outputs
Outputs from Statistical Science
#39
of 689 outputs
Outputs of similar age
#34,794
of 420,192 outputs
Outputs of similar age from Statistical Science
#1
of 10 outputs
Altmetric has tracked 26,737,020 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 689 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 94% 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 420,192 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 91% of its contemporaries.
We're also able to compare this research output to 10 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