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Response-Adaptive Randomization in Clinical Trials: From Myths to Practical Considerations

Overview of attention for article published in Statistical Science, May 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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9 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
49 Mendeley
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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

X Demographics

The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Ph. D. Student 6 12%
Other 4 8%
Student > Bachelor 2 4%
Student > Master 2 4%
Other 2 4%
Unknown 20 41%
Readers by discipline Count As %
Mathematics 12 24%
Medicine and Dentistry 5 10%
Biochemistry, Genetics and Molecular Biology 2 4%
Unspecified 1 2%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 8%
Unknown 24 49%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 06 July 2023.
All research outputs
#6,570,243
of 25,394,764 outputs
Outputs from Statistical Science
#213
of 707 outputs
Outputs of similar age
#113,165
of 407,384 outputs
Outputs of similar age from Statistical Science
#1
of 9 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 707 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 69% 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 407,384 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 72% of its contemporaries.
We're also able to compare this research output to 9 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