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Reinforcement learning as an innovative model-based approach: Examples from precision dosing, digital health and computational psychiatry

Overview of attention for article published in Frontiers in Pharmacology, February 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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3 Dimensions

Readers on

mendeley
18 Mendeley
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Title
Reinforcement learning as an innovative model-based approach: Examples from precision dosing, digital health and computational psychiatry
Published in
Frontiers in Pharmacology, February 2023
DOI 10.3389/fphar.2022.1094281
Pubmed ID
Authors

Benjamin Ribba

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 3 17%
Student > Ph. D. Student 3 17%
Student > Doctoral Student 2 11%
Student > Master 2 11%
Student > Bachelor 1 6%
Other 2 11%
Unknown 5 28%
Readers by discipline Count As %
Computer Science 5 28%
Medicine and Dentistry 2 11%
Environmental Science 1 6%
Sports and Recreations 1 6%
Agricultural and Biological Sciences 1 6%
Other 2 11%
Unknown 6 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 07 March 2023.
All research outputs
#19,996,386
of 25,436,226 outputs
Outputs from Frontiers in Pharmacology
#8,491
of 19,778 outputs
Outputs of similar age
#302,276
of 427,460 outputs
Outputs of similar age from Frontiers in Pharmacology
#402
of 1,004 outputs
Altmetric has tracked 25,436,226 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 19,778 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
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 427,460 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,004 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.