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Soft constraints for pattern mining

Overview of attention for article published in Journal of Intelligent Information Systems, November 2013
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Mentioned by

facebook
1 Facebook page

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
7 Mendeley
Title
Soft constraints for pattern mining
Published in
Journal of Intelligent Information Systems, November 2013
DOI 10.1007/s10844-013-0281-4
Authors

Willy Ugarte, Patrice Boizumault, Samir Loudni, Bruno Crémilleux, Alban Lepailleur

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 43%
Student > Ph. D. Student 1 14%
Student > Bachelor 1 14%
Student > Doctoral Student 1 14%
Unknown 1 14%
Readers by discipline Count As %
Computer Science 3 43%
Chemistry 1 14%
Unknown 3 43%
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 15 June 2015.
All research outputs
#20,288,585
of 22,824,164 outputs
Outputs from Journal of Intelligent Information Systems
#167
of 179 outputs
Outputs of similar age
#187,947
of 215,767 outputs
Outputs of similar age from Journal of Intelligent Information Systems
#1
of 1 outputs
Altmetric has tracked 22,824,164 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 179 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 1st percentile – i.e., 1% 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 215,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 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