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Propagation kernels: efficient graph kernels from propagated information

Overview of attention for article published in Machine Learning, July 2015
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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134 Dimensions

Readers on

mendeley
89 Mendeley
Title
Propagation kernels: efficient graph kernels from propagated information
Published in
Machine Learning, July 2015
DOI 10.1007/s10994-015-5517-9
Authors

Marion Neumann, Roman Garnett, Christian Bauckhage, Kristian Kersting

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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 1%
Germany 1 1%
Unknown 87 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 31%
Student > Master 12 13%
Researcher 9 10%
Student > Bachelor 6 7%
Professor 4 4%
Other 6 7%
Unknown 24 27%
Readers by discipline Count As %
Computer Science 41 46%
Engineering 9 10%
Mathematics 6 7%
Agricultural and Biological Sciences 2 2%
Physics and Astronomy 2 2%
Other 2 2%
Unknown 27 30%
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 19 February 2016.
All research outputs
#15,359,595
of 22,849,304 outputs
Outputs from Machine Learning
#675
of 965 outputs
Outputs of similar age
#137,573
of 234,765 outputs
Outputs of similar age from Machine Learning
#5
of 8 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 965 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 18th percentile – i.e., 18% 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 234,765 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 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.