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
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
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.