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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Effects of expertise on football betting
|
|---|---|
| Published in |
Substance Abuse Treatment, Prevention, and Policy, May 2012
|
| DOI | 10.1186/1747-597x-7-18 |
| Pubmed ID | |
| Authors |
Yasser Khazaal, Anne Chatton, Joël Billieux, Lucio Bizzini, Grégoire Monney, Emmanuelle Fresard, Gabriel Thorens, Guido Bondolfi, Nady El-Guebaly, Daniele Zullino, Riaz Khan |
| Abstract |
Football (soccer) is one of the most popular sports in the world, including Europe. It is associated with important betting activities. A common belief, widely spread among those who participate in gambling activities, is that knowledge and expertise on football lead to better prediction skills for match outcomes. If unfounded, however, this belief should be considered as a form of "illusion of control." The aim of this study was to examine whether football experts are better than nonexperts at predicting football match scores. |
Twitter Demographics
The data shown below were collected from the profiles of 12 tweeters 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 | 25% |
| Kenya | 2 | 17% |
| United States | 1 | 8% |
| Norway | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 83% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 86 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 18% |
| Student > Bachelor | 14 | 16% |
| Student > Ph. D. Student | 12 | 14% |
| Researcher | 8 | 9% |
| Student > Doctoral Student | 4 | 5% |
| Other | 16 | 18% |
| Unknown | 17 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 24% |
| Sports and Recreations | 11 | 13% |
| Social Sciences | 10 | 11% |
| Medicine and Dentistry | 9 | 10% |
| Computer Science | 6 | 7% |
| Other | 12 | 14% |
| Unknown | 18 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 30. 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 05 December 2019.
All research outputs
#1,093,781
of 22,665,794 outputs
Outputs from Substance Abuse Treatment, Prevention, and Policy
#41
of 664 outputs
Outputs of similar age
#6,298
of 163,915 outputs
Outputs of similar age from Substance Abuse Treatment, Prevention, and Policy
#1
of 11 outputs
Altmetric has tracked 22,665,794 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 664 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done particularly well, scoring higher than 93% 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 163,915 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 11 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 90% of its contemporaries.