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The Poisson transform for unnormalised statistical models

Overview of attention for article published in Statistics and Computing, June 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
28 Mendeley
Title
The Poisson transform for unnormalised statistical models
Published in
Statistics and Computing, June 2015
DOI 10.1007/s11222-015-9559-4
Authors

Simon Barthelmé, Nicolas Chopin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 7%
Hungary 1 4%
United States 1 4%
Unknown 24 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 43%
Researcher 7 25%
Lecturer 2 7%
Professor 1 4%
Other 1 4%
Other 2 7%
Unknown 3 11%
Readers by discipline Count As %
Mathematics 10 36%
Computer Science 6 21%
Neuroscience 2 7%
Biochemistry, Genetics and Molecular Biology 1 4%
Agricultural and Biological Sciences 1 4%
Other 4 14%
Unknown 4 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 24 June 2015.
All research outputs
#6,955,174
of 26,017,215 outputs
Outputs from Statistics and Computing
#128
of 648 outputs
Outputs of similar age
#74,401
of 283,473 outputs
Outputs of similar age from Statistics and Computing
#11
of 23 outputs
Altmetric has tracked 26,017,215 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 648 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 76% 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 283,473 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 73% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.