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Attention Score in Context
| Title |
Confidence measurement in the light of signal detection theory
|
|---|---|
| Published in |
Frontiers in Psychology, December 2014
|
| DOI | 10.3389/fpsyg.2014.01455 |
| Pubmed ID | |
| Authors |
Sébastien Massoni, Thibault Gajdos, Jean-Christophe Vergnaud |
| Abstract |
We compare three alternative methods for eliciting retrospective confidence in the context of a simple perceptual task: the Simple Confidence Rating (a direct report on a numerical scale), the Quadratic Scoring Rule (a post-wagering procedure), and the Matching Probability (MP; a generalization of the no-loss gambling method). We systematically compare the results obtained with these three rules to the theoretical confidence levels that can be inferred from performance in the perceptual task using Signal Detection Theory (SDT). We find that the MP provides better results in that respect. We conclude that MP is particularly well suited for studies of confidence that use SDT as a theoretical framework. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 17% |
| Denmark | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | <1% |
| France | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 105 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 19% |
| Researcher | 20 | 19% |
| Student > Master | 17 | 16% |
| Student > Bachelor | 12 | 11% |
| Student > Doctoral Student | 6 | 6% |
| Other | 19 | 18% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 45 | 42% |
| Neuroscience | 17 | 16% |
| Agricultural and Biological Sciences | 6 | 6% |
| Computer Science | 5 | 5% |
| Economics, Econometrics and Finance | 3 | 3% |
| Other | 9 | 8% |
| Unknown | 23 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 01 April 2021.
All research outputs
#6,885,730
of 22,772,779 outputs
Outputs from Frontiers in Psychology
#9,898
of 29,687 outputs
Outputs of similar age
#96,762
of 361,181 outputs
Outputs of similar age from Frontiers in Psychology
#199
of 368 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 29,687 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 66% 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 361,181 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 368 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.