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Bayesian hierarchical models for adaptive basket trial designs

Overview of attention for article published in Pharmaceutical Statistics, January 2023
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

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5 X users

Citations

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2 Dimensions

Readers on

mendeley
5 Mendeley
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Title
Bayesian hierarchical models for adaptive basket trial designs
Published in
Pharmaceutical Statistics, January 2023
DOI 10.1002/pst.2289
Pubmed ID
Authors

Chian Chen, Chin‐Fu Hsiao

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 20%
Student > Ph. D. Student 1 20%
Researcher 1 20%
Unknown 2 40%
Readers by discipline Count As %
Unspecified 1 20%
Mathematics 1 20%
Neuroscience 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 January 2023.
All research outputs
#14,131,156
of 25,176,926 outputs
Outputs from Pharmaceutical Statistics
#244
of 578 outputs
Outputs of similar age
#170,782
of 474,556 outputs
Outputs of similar age from Pharmaceutical Statistics
#5
of 16 outputs
Altmetric has tracked 25,176,926 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 578 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 57% 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 474,556 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 63% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.