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ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS

Overview of attention for article published in Data Mining and Knowledge Discovery, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
110 Dimensions

Readers on

mendeley
73 Mendeley
Title
ABACUS: frequent pAttern mining-BAsed Community discovery in mUltidimensional networkS
Published in
Data Mining and Knowledge Discovery, July 2013
DOI 10.1007/s10618-013-0331-0
Authors

Michele Berlingerio, Fabio Pinelli, Francesco Calabrese

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

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 2 3%
United States 2 3%
Sri Lanka 2 3%
Sweden 1 1%
Unknown 66 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 34%
Student > Master 16 22%
Student > Bachelor 4 5%
Other 3 4%
Professor > Associate Professor 3 4%
Other 11 15%
Unknown 11 15%
Readers by discipline Count As %
Computer Science 43 59%
Physics and Astronomy 3 4%
Mathematics 3 4%
Unspecified 2 3%
Social Sciences 2 3%
Other 6 8%
Unknown 14 19%
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 27 March 2018.
All research outputs
#6,815,932
of 23,854,458 outputs
Outputs from Data Mining and Knowledge Discovery
#130
of 546 outputs
Outputs of similar age
#55,966
of 199,882 outputs
Outputs of similar age from Data Mining and Knowledge Discovery
#1
of 6 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 546 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 74% 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 199,882 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 70% of its contemporaries.
We're also able to compare this research output to 6 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