↓ Skip to main content

Mining association rules in big data with NGEP

Overview of attention for article published in Cluster Computing, January 2015
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
46 Dimensions

Readers on

mendeley
44 Mendeley
Title
Mining association rules in big data with NGEP
Published in
Cluster Computing, January 2015
DOI 10.1007/s10586-014-0419-3
Authors

Yunliang Chen, Fangyuan Li, Junqing Fan

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

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 27%
Student > Master 7 16%
Researcher 5 11%
Other 4 9%
Student > Doctoral Student 3 7%
Other 7 16%
Unknown 6 14%
Readers by discipline Count As %
Computer Science 20 45%
Engineering 6 14%
Social Sciences 2 5%
Mathematics 1 2%
Economics, Econometrics and Finance 1 2%
Other 5 11%
Unknown 9 20%
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 19 January 2015.
All research outputs
#18,389,490
of 22,778,347 outputs
Outputs from Cluster Computing
#224
of 272 outputs
Outputs of similar age
#255,383
of 352,048 outputs
Outputs of similar age from Cluster Computing
#3
of 4 outputs
Altmetric has tracked 22,778,347 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 272 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 7th percentile – i.e., 7% of its peers scored the same or lower than it.
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 352,048 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.