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Mendeley readers
Attention Score in Context
| Title |
BACS: The Brussels Artificial Character Sets for studies in cognitive psychology and neuroscience
|
|---|---|
| Published in |
Behavior Research Methods, January 2017
|
| DOI | 10.3758/s13428-016-0844-8 |
| Pubmed ID | |
| Authors |
Camille Vidal, Alain Content, Fabienne Chetail |
| Abstract |
Written symbols such as letters have been used extensively in cognitive psychology, whether to understand their contributions to written word recognition or to examine the processes involved in other mental functions. Sometimes, however, researchers want to manipulate letters while removing their associated characteristics. A powerful solution to do so is to use new characters, devised to be highly similar to letters, but without the associated sound or name. Given the growing use of artificial characters in experimental paradigms, the aim of the present study was to make available the Brussels Artificial Character Sets (BACS): two full, strictly controlled, and portable sets of artificial characters for a broad range of experimental situations. |
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 % |
|---|---|---|
| United States | 1 | 17% |
| Netherlands | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 1% |
| Unknown | 70 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 23% |
| Researcher | 13 | 18% |
| Student > Master | 9 | 13% |
| Student > Doctoral Student | 5 | 7% |
| Professor | 5 | 7% |
| Other | 13 | 18% |
| Unknown | 10 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 36 | 51% |
| Neuroscience | 9 | 13% |
| Arts and Humanities | 2 | 3% |
| Unspecified | 2 | 3% |
| Social Sciences | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 14 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 February 2017.
All research outputs
#7,303,959
of 25,377,790 outputs
Outputs from Behavior Research Methods
#915
of 2,526 outputs
Outputs of similar age
#127,216
of 422,653 outputs
Outputs of similar age from Behavior Research Methods
#7
of 30 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,526 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 63% 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 422,653 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 69% of its contemporaries.
We're also able to compare this research output to 30 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.