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Skopus: Mining top-k sequential patterns under leverage

Overview of attention for article published in Data Mining and Knowledge Discovery, June 2016
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
7 X users
facebook
2 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
34 Mendeley
Title
Skopus: Mining top-k sequential patterns under leverage
Published in
Data Mining and Knowledge Discovery, June 2016
DOI 10.1007/s10618-016-0467-9
Authors

François Petitjean, Tao Li, Nikolaj Tatti, Geoffrey I. Webb

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 26%
Researcher 6 18%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Lecturer 2 6%
Other 6 18%
Unknown 5 15%
Readers by discipline Count As %
Computer Science 23 68%
Engineering 3 9%
Business, Management and Accounting 1 3%
Earth and Planetary Sciences 1 3%
Economics, Econometrics and Finance 1 3%
Other 0 0%
Unknown 5 15%
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 06 February 2018.
All research outputs
#13,741,360
of 24,002,307 outputs
Outputs from Data Mining and Knowledge Discovery
#252
of 550 outputs
Outputs of similar age
#183,009
of 358,068 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#3
of 3 outputs
Altmetric has tracked 24,002,307 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 550 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 53% 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 358,068 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% 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.