| Title |
Variational Bayes with synthetic likelihood
|
|---|---|
| Published in |
Statistics and Computing, August 2017
|
| DOI | 10.1007/s11222-017-9773-3 |
| Authors |
Victor M. H. Ong, David J. Nott, Minh-Ngoc Tran, Scott A. Sisson, Christopher C. Drovandi |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 21% |
| Australia | 3 | 13% |
| India | 1 | 4% |
| United Kingdom | 1 | 4% |
| Japan | 1 | 4% |
| Unknown | 13 | 54% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 18 | 75% |
| Scientists | 6 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 49 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 34% |
| Researcher | 8 | 16% |
| Student > Master | 7 | 14% |
| Student > Bachelor | 2 | 4% |
| Professor > Associate Professor | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 12 | 24% |
| Computer Science | 11 | 22% |
| Engineering | 7 | 14% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 12 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 26 February 2018.
All research outputs
#1,682,675
of 25,389,532 outputs
Outputs from Statistics and Computing
#13
of 623 outputs
Outputs of similar age
#32,395
of 323,759 outputs
Outputs of similar age from Statistics and Computing
#1
of 5 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 623 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 93% 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 323,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 5 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