| Title |
Type S error rates for classical and Bayesian single and multiple comparison procedures
|
|---|---|
| Published in |
Computational Statistics, September 2000
|
| DOI | 10.1007/s001800000040 |
| Authors |
Andrew Gelman, Francis Tuerlinckx |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 219 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| Spain | 2 | <1% |
| United Kingdom | 2 | <1% |
| Switzerland | 1 | <1% |
| Indonesia | 1 | <1% |
| Japan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 206 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 55 | 25% |
| Researcher | 52 | 24% |
| Student > Master | 18 | 8% |
| Student > Doctoral Student | 18 | 8% |
| Other | 12 | 5% |
| Other | 42 | 19% |
| Unknown | 22 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 16% |
| Psychology | 32 | 15% |
| Social Sciences | 21 | 10% |
| Mathematics | 20 | 9% |
| Computer Science | 10 | 5% |
| Other | 64 | 29% |
| Unknown | 36 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 04 November 2023.
All research outputs
#4,605,650
of 25,837,817 outputs
Outputs from Computational Statistics
#26
of 228 outputs
Outputs of similar age
#5,694
of 38,462 outputs
Outputs of similar age from Computational Statistics
#1
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 228 research outputs from this source. They receive a mean Attention Score of 3.1. This one has done well, scoring higher than 88% 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 38,462 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 84% of its contemporaries.
We're also able to compare this research output to 3 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