| Title |
Limitations of Bayesian Leave-One-Out Cross-Validation for Model Selection
|
|---|---|
| Published in |
Computational Brain & Behavior, September 2018
|
| DOI | 10.1007/s42113-018-0011-7 |
| Pubmed ID | |
| Authors |
Quentin F. Gronau, Eric-Jan Wagenmakers |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 14% |
| Netherlands | 2 | 14% |
| Australia | 2 | 14% |
| United Kingdom | 1 | 7% |
| India | 1 | 7% |
| Benin | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 50% |
| Scientists | 6 | 43% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 30% |
| Researcher | 11 | 16% |
| Student > Master | 7 | 10% |
| Student > Doctoral Student | 3 | 4% |
| Professor | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 18 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 12 | 17% |
| Computer Science | 4 | 6% |
| Agricultural and Biological Sciences | 4 | 6% |
| Engineering | 4 | 6% |
| Neuroscience | 3 | 4% |
| Other | 18 | 26% |
| Unknown | 24 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 January 2019.
All research outputs
#3,839,275
of 23,727,139 outputs
Outputs from Computational Brain & Behavior
#1
of 1 outputs
Outputs of similar age
#74,715
of 343,031 outputs
Outputs of similar age from Computational Brain & Behavior
#1
of 1 outputs
Altmetric has tracked 23,727,139 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.0. This one scored the same or higher as 0 of them.
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 343,031 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 78% 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