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A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design

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

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
1 tweeter
googleplus
1 Google+ user

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
12 Mendeley
Title
A pseudo-marginal sequential Monte Carlo algorithm for random effects models in Bayesian sequential design
Published in
Statistics and Computing, August 2015
DOI 10.1007/s11222-015-9596-z
Authors

J. M. McGree, C. C. Drovandi, G. White, A. N. Pettitt

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 25%
Student > Doctoral Student 2 17%
Student > Master 1 8%
Lecturer 1 8%
Lecturer > Senior Lecturer 1 8%
Other 4 33%
Readers by discipline Count As %
Mathematics 5 42%
Computer Science 2 17%
Chemical Engineering 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Unspecified 1 8%
Other 2 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 12 August 2015.
All research outputs
#7,099,278
of 12,341,768 outputs
Outputs from Statistics and Computing
#136
of 231 outputs
Outputs of similar age
#108,191
of 241,293 outputs
Outputs of similar age from Statistics and Computing
#10
of 24 outputs
Altmetric has tracked 12,341,768 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 231 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 38th percentile – i.e., 38% 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 241,293 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 51% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.