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Scaling associative classification for very large datasets

Overview of attention for article published in Journal of Big Data, December 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#49 of 136)
  • Good Attention Score compared to outputs of the same age (68th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
11 tweeters

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
16 Mendeley
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Title
Scaling associative classification for very large datasets
Published in
Journal of Big Data, December 2017
DOI 10.1186/s40537-017-0107-2
Authors

Luca Venturini, Elena Baralis, Paolo Garza

Twitter Demographics

The data shown below were collected from the profiles of 11 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Student > Bachelor 3 19%
Researcher 2 13%
Student > Doctoral Student 2 13%
Lecturer 2 13%
Other 4 25%
Readers by discipline Count As %
Computer Science 8 50%
Unspecified 5 31%
Engineering 2 13%
Decision Sciences 1 6%

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 01 June 2018.
All research outputs
#3,503,312
of 13,020,439 outputs
Outputs from Journal of Big Data
#49
of 136 outputs
Outputs of similar age
#119,396
of 383,573 outputs
Outputs of similar age from Journal of Big Data
#6
of 31 outputs
Altmetric has tracked 13,020,439 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 136 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has gotten more attention than average, scoring higher than 63% 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 383,573 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 68% of its contemporaries.
We're also able to compare this research output to 31 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.