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Anytime algorithm for frequent pattern outlier detection

Overview of attention for article published in International Journal of Data Science and Analytics, August 2016
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Mentioned by

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1 X user

Citations

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13 Dimensions

Readers on

mendeley
15 Mendeley
Title
Anytime algorithm for frequent pattern outlier detection
Published in
International Journal of Data Science and Analytics, August 2016
DOI 10.1007/s41060-016-0019-9
Authors

Arnaud Giacometti, Arnaud Soulet

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

Geographical breakdown

Country Count As %
Belgium 1 7%
Unknown 14 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 33%
Researcher 3 20%
Student > Master 3 20%
Lecturer 1 7%
Lecturer > Senior Lecturer 1 7%
Other 0 0%
Unknown 2 13%
Readers by discipline Count As %
Computer Science 10 67%
Mathematics 1 7%
Engineering 1 7%
Unknown 3 20%
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 03 November 2016.
All research outputs
#17,283,763
of 25,371,288 outputs
Outputs from International Journal of Data Science and Analytics
#110
of 253 outputs
Outputs of similar age
#231,769
of 354,559 outputs
Outputs of similar age from International Journal of Data Science and Analytics
#2
of 4 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 253 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 48th percentile – i.e., 48% 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 354,559 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.