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Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models

Overview of attention for article published in Journal of Statistical Distributions and Applications , August 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)

Mentioned by

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7 X users

Citations

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11 Dimensions

Readers on

mendeley
5 Mendeley
Title
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
Published in
Journal of Statistical Distributions and Applications , August 2021
DOI 10.1186/s40488-021-00125-0
Authors

Hien Duy Nguyen, TrungTin Nguyen, Faicel Chamroukhi, Geoffrey John McLachlan

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 20%
Student > Doctoral Student 1 20%
Unknown 3 60%
Readers by discipline Count As %
Mathematics 1 20%
Economics, Econometrics and Finance 1 20%
Medicine and Dentistry 1 20%
Unknown 2 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 September 2021.
All research outputs
#7,086,646
of 25,846,867 outputs
Outputs from Journal of Statistical Distributions and Applications
#6
of 41 outputs
Outputs of similar age
#134,160
of 440,694 outputs
Outputs of similar age from Journal of Statistical Distributions and Applications
#1
of 2 outputs
Altmetric has tracked 25,846,867 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 41 research outputs from this source. They receive a mean Attention Score of 2.3. This one scored the same or higher as 35 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 440,694 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 69% of its contemporaries.
We're also able to compare this research output to 2 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