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Adaptive designs in clinical trials: why use them, and how to run and report them

Overview of attention for article published in BMC Medicine, February 2018
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Citations

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458 Dimensions

Readers on

mendeley
686 Mendeley
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Title
Adaptive designs in clinical trials: why use them, and how to run and report them
Published in
BMC Medicine, February 2018
DOI 10.1186/s12916-018-1017-7
Pubmed ID
Authors

Philip Pallmann, Alun W. Bedding, Babak Choodari-Oskooei, Munyaradzi Dimairo, Laura Flight, Lisa V. Hampson, Jane Holmes, Adrian P. Mander, Lang’o Odondi, Matthew R. Sydes, Sofía S. Villar, James M. S. Wason, Christopher J. Weir, Graham M. Wheeler, Christina Yap, Thomas Jaki

X Demographics

X Demographics

The data shown below were collected from the profiles of 126 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 686 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 686 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 129 19%
Student > Ph. D. Student 73 11%
Student > Master 63 9%
Other 59 9%
Student > Bachelor 43 6%
Other 119 17%
Unknown 200 29%
Readers by discipline Count As %
Medicine and Dentistry 173 25%
Pharmacology, Toxicology and Pharmaceutical Science 45 7%
Mathematics 34 5%
Biochemistry, Genetics and Molecular Biology 28 4%
Agricultural and Biological Sciences 26 4%
Other 140 20%
Unknown 240 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 363. 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 23 September 2023.
All research outputs
#89,154
of 25,703,943 outputs
Outputs from BMC Medicine
#92
of 4,071 outputs
Outputs of similar age
#2,215
of 345,031 outputs
Outputs of similar age from BMC Medicine
#3
of 47 outputs
Altmetric has tracked 25,703,943 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. 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 345,031 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 99% of its contemporaries.
We're also able to compare this research output to 47 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 93% of its contemporaries.