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Clausal Discovery

Overview of attention for article published in Machine Learning, February 1997
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Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
137 Dimensions

Readers on

mendeley
88 Mendeley
citeulike
1 CiteULike
Title
Clausal Discovery
Published in
Machine Learning, February 1997
DOI 10.1023/a:1007361123060
Authors

Luc De Raedt, Luc Dehaspe

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 3 3%
United States 2 2%
Switzerland 1 1%
France 1 1%
Austria 1 1%
Sweden 1 1%
India 1 1%
Germany 1 1%
Slovakia 1 1%
Other 3 3%
Unknown 73 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 30%
Student > Master 15 17%
Researcher 14 16%
Professor 5 6%
Professor > Associate Professor 5 6%
Other 14 16%
Unknown 9 10%
Readers by discipline Count As %
Computer Science 60 68%
Engineering 6 7%
Mathematics 2 2%
Environmental Science 2 2%
Linguistics 1 1%
Other 7 8%
Unknown 10 11%
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 23 November 2022.
All research outputs
#8,535,472
of 25,374,647 outputs
Outputs from Machine Learning
#344
of 1,225 outputs
Outputs of similar age
#20,412
of 93,677 outputs
Outputs of similar age from Machine Learning
#1
of 3 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
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 56% 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 93,677 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 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