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Finite mixture biclustering of discrete type multivariate data

Overview of attention for article published in Advances in Data Analysis and Classification, May 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (61st percentile)

Mentioned by

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5 X users

Citations

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3 Dimensions

Readers on

mendeley
10 Mendeley
Title
Finite mixture biclustering of discrete type multivariate data
Published in
Advances in Data Analysis and Classification, May 2018
DOI 10.1007/s11634-018-0324-3
Authors

Daniel Fernández, Richard Arnold, Shirley Pledger, Ivy Liu, Roy Costilla

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 20%
Professor 1 10%
Student > Bachelor 1 10%
Student > Ph. D. Student 1 10%
Unknown 5 50%
Readers by discipline Count As %
Computer Science 2 20%
Mathematics 1 10%
Psychology 1 10%
Decision Sciences 1 10%
Unknown 5 50%
Attention Score in Context

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 18 May 2018.
All research outputs
#7,345,515
of 23,332,901 outputs
Outputs from Advances in Data Analysis and Classification
#23
of 91 outputs
Outputs of similar age
#125,418
of 327,714 outputs
Outputs of similar age from Advances in Data Analysis and Classification
#2
of 3 outputs
Altmetric has tracked 23,332,901 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 91 research outputs from this source. They receive a mean Attention Score of 2.8. This one has done well, scoring higher than 75% 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 327,714 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 61% of its contemporaries.
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.