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Graph kernels and Gaussian processes for relational reinforcement learning

Overview of attention for article published in Machine Learning, May 2006
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Mentioned by

patent
2 patents

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
67 Mendeley
citeulike
3 CiteULike
Title
Graph kernels and Gaussian processes for relational reinforcement learning
Published in
Machine Learning, May 2006
DOI 10.1007/s10994-006-8258-y
Authors

Kurt Driessens, Jan Ramon, Thomas Gärtner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 3%
United States 2 3%
China 2 3%
Austria 1 1%
United Kingdom 1 1%
Slovenia 1 1%
Turkey 1 1%
Slovakia 1 1%
Mexico 1 1%
Other 0 0%
Unknown 55 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 20 30%
Student > Master 14 21%
Researcher 11 16%
Other 5 7%
Student > Bachelor 4 6%
Other 9 13%
Unknown 4 6%
Readers by discipline Count As %
Computer Science 48 72%
Engineering 4 6%
Mathematics 1 1%
Business, Management and Accounting 1 1%
Biochemistry, Genetics and Molecular Biology 1 1%
Other 4 6%
Unknown 8 12%
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 18 November 2010.
All research outputs
#7,551,483
of 23,036,991 outputs
Outputs from Machine Learning
#280
of 973 outputs
Outputs of similar age
#23,265
of 66,424 outputs
Outputs of similar age from Machine Learning
#3
of 7 outputs
Altmetric has tracked 23,036,991 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 973 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 53% 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 66,424 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
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 4 of them.