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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Manufacturing Magic and Computational Creativity
|
|---|---|
| Published in |
Frontiers in Psychology, June 2016
|
| DOI | 10.3389/fpsyg.2016.00855 |
| Pubmed ID | |
| Authors |
Howard Williams, Peter W. McOwan |
| Abstract |
This paper describes techniques in computational creativity, blending mathematical modeling and psychological insight, to generate new magic tricks. The details of an explicit computational framework capable of creating new magic tricks are summarized, and evaluated against a range of contemporary theories about what constitutes a creative system. To allow further development of the proposed system we situate this approach to the generation of magic in the wider context of other areas of application in computational creativity in performance arts. We show how approaches in these domains could be incorporated to enhance future magic generation systems, and critically review possible future applications of such magic generating computers. |
X Demographics
The data shown below were collected from the profiles of 16 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 Kingdom | 3 | 19% |
| Japan | 2 | 13% |
| New Zealand | 1 | 6% |
| India | 1 | 6% |
| Spain | 1 | 6% |
| France | 1 | 6% |
| Canada | 1 | 6% |
| Unknown | 6 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 94% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 23% |
| Researcher | 6 | 20% |
| Student > Master | 3 | 10% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Professor | 1 | 3% |
| Other | 3 | 10% |
| Unknown | 9 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 6 | 20% |
| Social Sciences | 3 | 10% |
| Arts and Humanities | 2 | 7% |
| Neuroscience | 2 | 7% |
| Computer Science | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 11 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 75. 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 25 July 2016.
All research outputs
#561,149
of 25,124,631 outputs
Outputs from Frontiers in Psychology
#1,152
of 33,923 outputs
Outputs of similar age
#11,058
of 353,263 outputs
Outputs of similar age from Frontiers in Psychology
#26
of 417 outputs
Altmetric has tracked 25,124,631 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has done particularly well, scoring higher than 96% 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 353,263 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 417 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.