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Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions

Overview of attention for article published in arXiv, March 2022
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

twitter
39 X users

Readers on

mendeley
16 Mendeley
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Title
Reinforcement Learning in Modern Biostatistics: Constructing Optimal Adaptive Interventions
Published in
arXiv, March 2022
DOI 10.1111/insr.12583
Authors

Nina Deliu, Joseph Jay Williams, Bibhas Chakraborty

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 39 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Doctoral Student 2 13%
Researcher 2 13%
Student > Master 2 13%
Lecturer 1 6%
Other 0 0%
Unknown 6 38%
Readers by discipline Count As %
Mathematics 4 25%
Computer Science 3 19%
Biochemistry, Genetics and Molecular Biology 1 6%
Medicine and Dentistry 1 6%
Neuroscience 1 6%
Other 0 0%
Unknown 6 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 02 August 2024.
All research outputs
#1,712,357
of 26,559,802 outputs
Outputs from arXiv
#26,236
of 1,008,661 outputs
Outputs of similar age
#40,473
of 456,340 outputs
Outputs of similar age from arXiv
#737
of 27,341 outputs
Altmetric has tracked 26,559,802 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 1,008,661 research outputs from this source. They receive a mean Attention Score of 4.2. 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 456,340 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 27,341 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.