| Title |
Bayesian Additive Regression Trees using Bayesian model averaging
|
|---|---|
| Published in |
Statistics and Computing, July 2017
|
| DOI | 10.1007/s11222-017-9767-1 |
| Pubmed ID | |
| Authors |
Belinda Hernández, Adrian E. Raftery, Stephen R Pennington, Andrew C. Parnell |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 8% |
| Myanmar | 1 | 8% |
| Singapore | 1 | 8% |
| South Africa | 1 | 8% |
| Norway | 1 | 8% |
| Ireland | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Costa Rica | 1 | 1% |
| Unknown | 95 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 24% |
| Student > Master | 11 | 11% |
| Professor | 10 | 10% |
| Student > Doctoral Student | 6 | 6% |
| Student > Bachelor | 6 | 6% |
| Other | 21 | 22% |
| Unknown | 19 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 19 | 20% |
| Computer Science | 11 | 11% |
| Agricultural and Biological Sciences | 9 | 9% |
| Engineering | 7 | 7% |
| Medicine and Dentistry | 5 | 5% |
| Other | 24 | 25% |
| Unknown | 21 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 April 2020.
All research outputs
#3,058,891
of 23,642,687 outputs
Outputs from Statistics and Computing
#39
of 545 outputs
Outputs of similar age
#57,061
of 318,141 outputs
Outputs of similar age from Statistics and Computing
#2
of 5 outputs
Altmetric has tracked 23,642,687 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 545 research outputs from this source. They receive a mean Attention Score of 3.7. 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 318,141 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 82% 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 3 of them.