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Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game

Overview of attention for article published in Applied Intelligence, April 2012
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
39 Mendeley
Title
Accelerated Bayesian learning for decentralized two-armed bandit based decision making with applications to the Goore Game
Published in
Applied Intelligence, April 2012
DOI 10.1007/s10489-012-0346-z
Authors

Ole-Christoffer Granmo, Sondre Glimsdal

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 3%
Germany 1 3%
Unknown 37 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 36%
Student > Master 7 18%
Student > Doctoral Student 4 10%
Researcher 2 5%
Student > Postgraduate 2 5%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Computer Science 13 33%
Psychology 5 13%
Engineering 3 8%
Agricultural and Biological Sciences 2 5%
Mathematics 2 5%
Other 4 10%
Unknown 10 26%
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 29 March 2013.
All research outputs
#7,454,951
of 22,790,780 outputs
Outputs from Applied Intelligence
#70
of 1,654 outputs
Outputs of similar age
#52,988
of 161,749 outputs
Outputs of similar age from Applied Intelligence
#1
of 1 outputs
Altmetric has tracked 22,790,780 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,654 research outputs from this source. They receive a mean Attention Score of 1.1. This one has done particularly well, scoring higher than 90% 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 161,749 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them