↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

googleplus
1 Google+ user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
17 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

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 24%
Researcher 4 24%
Lecturer 2 12%
Student > Doctoral Student 2 12%
Lecturer > Senior Lecturer 1 6%
Other 2 12%
Unknown 2 12%
Readers by discipline Count As %
Mathematics 7 41%
Computer Science 3 18%
Chemical Engineering 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Other 2 12%
Unknown 2 12%
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 09 November 2014.
All research outputs
#15,342,608
of 22,821,814 outputs
Outputs from Statistics and Computing
#274
of 502 outputs
Outputs of similar age
#154,541
of 264,159 outputs
Outputs of similar age from Statistics and Computing
#6
of 7 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 502 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 28th percentile – i.e., 28% 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 264,159 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.