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Relational concept analysis: mining concept lattices from multi-relational data

Overview of attention for article published in Annals of Mathematics & Artificial Intelligence, March 2013
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Mentioned by

twitter
1 tweeter

Citations

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45 Dimensions

Readers on

mendeley
33 Mendeley
Title
Relational concept analysis: mining concept lattices from multi-relational data
Published in
Annals of Mathematics & Artificial Intelligence, March 2013
DOI 10.1007/s10472-012-9329-3
Authors

Mohamed Rouane-Hacene, Marianne Huchard, Amedeo Napoli, Petko Valtchev

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Brazil 1 3%
United States 1 3%
Unknown 30 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Student > Master 4 12%
Lecturer 4 12%
Professor > Associate Professor 3 9%
Student > Doctoral Student 3 9%
Other 7 21%
Readers by discipline Count As %
Computer Science 28 85%
Unspecified 3 9%
Agricultural and Biological Sciences 1 3%
Materials Science 1 3%

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 09 April 2013.
All research outputs
#9,857,951
of 12,341,506 outputs
Outputs from Annals of Mathematics & Artificial Intelligence
#53
of 64 outputs
Outputs of similar age
#98,764
of 141,855 outputs
Outputs of similar age from Annals of Mathematics & Artificial Intelligence
#1
of 2 outputs
Altmetric has tracked 12,341,506 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 64 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 7th percentile – i.e., 7% 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 141,855 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
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