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A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling

Overview of attention for article published in Machine Learning, July 1997
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
303 Dimensions

Readers on

mendeley
267 Mendeley
citeulike
3 CiteULike
Title
A Bayesian/Information Theoretic Model of Learning to Learn via Multiple Task Sampling
Published in
Machine Learning, July 1997
DOI 10.1023/a:1007327622663
Authors

Jonathan Baxter

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
China 3 1%
Japan 2 <1%
Belgium 2 <1%
Turkey 1 <1%
India 1 <1%
Czechia 1 <1%
Slovakia 1 <1%
Ireland 1 <1%
Other 4 1%
Unknown 245 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 80 30%
Student > Master 43 16%
Researcher 32 12%
Student > Bachelor 13 5%
Student > Doctoral Student 13 5%
Other 32 12%
Unknown 54 20%
Readers by discipline Count As %
Computer Science 121 45%
Engineering 41 15%
Physics and Astronomy 5 2%
Psychology 5 2%
Mathematics 5 2%
Other 23 9%
Unknown 67 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 November 2022.
All research outputs
#7,960,052
of 25,374,647 outputs
Outputs from Machine Learning
#303
of 1,225 outputs
Outputs of similar age
#8,985
of 28,362 outputs
Outputs of similar age from Machine Learning
#4
of 7 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has gotten more attention than average, scoring higher than 73% 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 28,362 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 67% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.