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Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM)¹

Overview of attention for article published in Data Science Journal, January 2014
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Mentioned by

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1 X user

Citations

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2 Dimensions

Readers on

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9 Mendeley
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Title
Leveraging Bibliographic RDF Data for Keyword Prediction with Association Rule Mining (ARM)¹
Published in
Data Science Journal, January 2014
DOI 10.2481/dsj.14-033
Authors

Nidhi Kushwaha, O P Vyas

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Lecturer > Senior Lecturer 1 11%
Lecturer 1 11%
Other 1 11%
Student > Doctoral Student 1 11%
Other 1 11%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 2 22%
Chemical Engineering 1 11%
Social Sciences 1 11%
Engineering 1 11%
Unknown 4 44%
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 11 December 2014.
All research outputs
#15,312,760
of 22,774,233 outputs
Outputs from Data Science Journal
#295
of 329 outputs
Outputs of similar age
#190,077
of 305,323 outputs
Outputs of similar age from Data Science Journal
#5
of 7 outputs
Altmetric has tracked 22,774,233 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 329 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 3rd percentile – i.e., 3% 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 305,323 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.