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ILP turns 20

Overview of attention for article published in Machine Learning, September 2011
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)

Mentioned by

twitter
2 X users
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
88 Dimensions

Readers on

mendeley
58 Mendeley
citeulike
1 CiteULike
Title
ILP turns 20
Published in
Machine Learning, September 2011
DOI 10.1007/s10994-011-5259-2
Authors

Stephen Muggleton, Luc De Raedt, David Poole, Ivan Bratko, Peter Flach, Katsumi Inoue, Ashwin Srinivasan

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
China 1 2%
Slovenia 1 2%
Unknown 54 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Student > Master 12 21%
Researcher 5 9%
Student > Doctoral Student 4 7%
Professor 3 5%
Other 9 16%
Unknown 7 12%
Readers by discipline Count As %
Computer Science 41 71%
Engineering 5 9%
Chemistry 2 3%
Agricultural and Biological Sciences 1 2%
Psychology 1 2%
Other 0 0%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 13 January 2016.
All research outputs
#6,191,965
of 22,651,245 outputs
Outputs from Machine Learning
#211
of 951 outputs
Outputs of similar age
#35,803
of 125,590 outputs
Outputs of similar age from Machine Learning
#1
of 2 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 951 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 77% 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 125,590 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 2 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