| Title |
WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility
|
|---|---|
| Published in |
Statistics and Computing, October 2000
|
| DOI | 10.1023/a:1008929526011 |
| Authors |
David J. Lunn, Andrew Thomas, Nicky Best, David Spiegelhalter |
Mendeley readers
The data shown below were compiled from readership statistics for 1,257 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 28 | 2% |
| United Kingdom | 24 | 2% |
| Canada | 10 | <1% |
| Germany | 8 | <1% |
| Netherlands | 6 | <1% |
| Spain | 6 | <1% |
| France | 4 | <1% |
| Australia | 4 | <1% |
| Brazil | 3 | <1% |
| Other | 26 | 2% |
| Unknown | 1138 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 304 | 24% |
| Student > Ph. D. Student | 292 | 23% |
| Student > Master | 131 | 10% |
| Professor > Associate Professor | 72 | 6% |
| Student > Doctoral Student | 64 | 5% |
| Other | 225 | 18% |
| Unknown | 169 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 310 | 25% |
| Environmental Science | 118 | 9% |
| Medicine and Dentistry | 109 | 9% |
| Mathematics | 106 | 8% |
| Engineering | 80 | 6% |
| Other | 331 | 26% |
| Unknown | 203 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 December 2022.
All research outputs
#1,400,151
of 25,374,647 outputs
Outputs from Statistics and Computing
#8
of 608 outputs
Outputs of similar age
#854
of 38,859 outputs
Outputs of similar age from Statistics and Computing
#1
of 1 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 608 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 98% 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 38,859 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 1 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