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A formal series-based unification of the frequent itemset mining approaches

Overview of attention for article published in Knowledge and Information Systems, April 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
1 X user
q&a
1 Q&A thread

Readers on

mendeley
4 Mendeley
Title
A formal series-based unification of the frequent itemset mining approaches
Published in
Knowledge and Information Systems, April 2017
DOI 10.1007/s10115-017-1048-y
Authors

Slimane Oulad-Naoui, Hadda Cherroun, Djelloul Ziadi

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

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Computer Science 2 50%
Unknown 2 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 March 2018.
All research outputs
#7,335,210
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#66
of 614 outputs
Outputs of similar age
#113,150
of 310,702 outputs
Outputs of similar age from Knowledge and Information Systems
#2
of 10 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done well, scoring higher than 88% 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 310,702 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 62% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.