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Evaluating associative classification algorithms for Big Data

Overview of attention for article published in Big Data Analytics, January 2019
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1 X user

Citations

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10 Dimensions

Readers on

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32 Mendeley
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Title
Evaluating associative classification algorithms for Big Data
Published in
Big Data Analytics, January 2019
DOI 10.1186/s41044-018-0039-7
Authors

Francisco Padillo, José María Luna, Sebastián Ventura

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

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Ph. D. Student 4 13%
Student > Doctoral Student 3 9%
Researcher 2 6%
Lecturer 2 6%
Other 3 9%
Unknown 14 44%
Readers by discipline Count As %
Computer Science 14 44%
Decision Sciences 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Mathematics 1 3%
Environmental Science 1 3%
Other 0 0%
Unknown 13 41%
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 04 June 2019.
All research outputs
#18,683,314
of 23,149,216 outputs
Outputs from Big Data Analytics
#20
of 32 outputs
Outputs of similar age
#325,345
of 438,429 outputs
Outputs of similar age from Big Data Analytics
#1
of 3 outputs
Altmetric has tracked 23,149,216 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 32 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 12 of them.
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 438,429 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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. This one has scored higher than all of them