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Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions

Overview of attention for article published in Advances in Data Analysis and Classification, February 2014
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2 X users

Citations

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Readers on

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25 Mendeley
Title
Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions
Published in
Advances in Data Analysis and Classification, February 2014
DOI 10.1007/s11634-014-0165-7
Authors

Sanjeena Subedi, Paul D. McNicholas

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Student > Master 3 12%
Student > Doctoral Student 2 8%
Researcher 2 8%
Other 2 8%
Other 5 20%
Unknown 3 12%
Readers by discipline Count As %
Computer Science 5 20%
Mathematics 4 16%
Decision Sciences 2 8%
Psychology 2 8%
Agricultural and Biological Sciences 2 8%
Other 6 24%
Unknown 4 16%
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 10 September 2013.
All research outputs
#18,347,414
of 22,721,584 outputs
Outputs from Advances in Data Analysis and Classification
#70
of 90 outputs
Outputs of similar age
#162,696
of 223,172 outputs
Outputs of similar age from Advances in Data Analysis and Classification
#1
of 1 outputs
Altmetric has tracked 22,721,584 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 90 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1 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