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The Open International Soccer Database for machine learning

Overview of attention for article published in Machine Learning, July 2018
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 X users

Citations

dimensions_citation
32 Dimensions

Readers on

mendeley
112 Mendeley
Title
The Open International Soccer Database for machine learning
Published in
Machine Learning, July 2018
DOI 10.1007/s10994-018-5726-0
Authors

Werner Dubitzky, Philippe Lopes, Jesse Davis, Daniel Berrar

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 21%
Student > Bachelor 15 13%
Researcher 9 8%
Student > Ph. D. Student 6 5%
Lecturer 4 4%
Other 14 13%
Unknown 40 36%
Readers by discipline Count As %
Computer Science 25 22%
Sports and Recreations 12 11%
Engineering 9 8%
Mathematics 8 7%
Economics, Econometrics and Finance 5 4%
Other 15 13%
Unknown 38 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 December 2019.
All research outputs
#13,531,426
of 24,176,243 outputs
Outputs from Machine Learning
#478
of 1,049 outputs
Outputs of similar age
#155,871
of 330,227 outputs
Outputs of similar age from Machine Learning
#11
of 15 outputs
Altmetric has tracked 24,176,243 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,049 research outputs from this source. They receive a mean Attention Score of 4.3. This one has gotten more attention than average, scoring higher than 54% 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 330,227 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 52% of its contemporaries.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.