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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analysis of the predictive qualities of betting odds and FIFA World Ranking: evidence from the 2006, 2010 and 2014 Football World Cups
|
|---|---|
| Published in |
Journal of Sports Sciences, August 2016
|
| DOI | 10.1080/02640414.2016.1218040 |
| Pubmed ID | |
| Authors |
Fabian Wunderlich, Daniel Memmert |
| Abstract |
The present study aims to investigate the ability of a new framework enabling to derive more detailed model-based predictions from ranking systems. These were compared to predictions from the bet market including data from the World Cups 2006, 2010, and 2014. The results revealed that the FIFA World Ranking has essentially improved its predictive qualities compared to the bet market since the mode of calculation was changed in 2006. While both predictors were useful to obtain accurate predictions in general, the world ranking was able to outperform the bet market significantly for the World Cup 2014 and when the data from the World Cups 2010 and 2014 were pooled. Our new framework can be extended in future research to more detailed prediction tasks (i.e., predicting the final scores of a match or the tournament progress of a team). |
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 % |
|---|---|---|
| Spain | 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 18% |
| Student > Ph. D. Student | 7 | 14% |
| Student > Bachelor | 5 | 10% |
| Student > Doctoral Student | 5 | 10% |
| Researcher | 4 | 8% |
| Other | 5 | 10% |
| Unknown | 16 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Sports and Recreations | 11 | 22% |
| Business, Management and Accounting | 5 | 10% |
| Medicine and Dentistry | 4 | 8% |
| Psychology | 4 | 8% |
| Decision Sciences | 2 | 4% |
| Other | 9 | 18% |
| Unknown | 16 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 December 2016.
All research outputs
#17,835,502
of 22,912,409 outputs
Outputs from Journal of Sports Sciences
#3,354
of 3,793 outputs
Outputs of similar age
#259,078
of 355,952 outputs
Outputs of similar age from Journal of Sports Sciences
#96
of 106 outputs
Altmetric has tracked 22,912,409 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,793 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 355,952 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 106 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.