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Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies

Overview of attention for article published in Philosophical Transactions of the Royal Society B: Biological Sciences, May 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
13 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
70 Mendeley
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Title
Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies
Published in
Philosophical Transactions of the Royal Society B: Biological Sciences, May 2019
DOI 10.1098/rstb.2018.0277
Pubmed ID
Authors

W. J. M. Probert, S. Lakkur, C. J. Fonnesbeck, K. Shea, M. C. Runge, M. J. Tildesley, M. J. Ferrari

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 24%
Student > Ph. D. Student 16 23%
Student > Master 7 10%
Student > Bachelor 5 7%
Student > Doctoral Student 3 4%
Other 11 16%
Unknown 11 16%
Readers by discipline Count As %
Computer Science 12 17%
Mathematics 7 10%
Agricultural and Biological Sciences 7 10%
Engineering 6 9%
Medicine and Dentistry 4 6%
Other 18 26%
Unknown 16 23%

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 30 April 2020.
All research outputs
#4,318,682
of 18,209,172 outputs
Outputs from Philosophical Transactions of the Royal Society B: Biological Sciences
#2,715
of 5,637 outputs
Outputs of similar age
#78,561
of 277,994 outputs
Outputs of similar age from Philosophical Transactions of the Royal Society B: Biological Sciences
#54
of 97 outputs
Altmetric has tracked 18,209,172 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,637 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.9. This one has gotten more attention than average, scoring higher than 51% 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 277,994 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 71% of its contemporaries.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.