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Scoring dynamics across professional team sports: tempo, balance and predictability

Overview of attention for article published in EPJ Data Science, February 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 368)
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

blogs
1 blog
twitter
110 tweeters
patent
1 patent
facebook
1 Facebook page
googleplus
3 Google+ users
reddit
1 Redditor
q&a
1 Q&A thread

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
93 Mendeley
Title
Scoring dynamics across professional team sports: tempo, balance and predictability
Published in
EPJ Data Science, February 2014
DOI 10.1140/epjds29
Authors

Sears Merritt, Aaron Clauset

Twitter Demographics

The data shown below were collected from the profiles of 110 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Italy 1 1%
Czechia 1 1%
Germany 1 1%
Canada 1 1%
Portugal 1 1%
Spain 1 1%
Luxembourg 1 1%
Other 0 0%
Unknown 81 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 24%
Student > Master 11 12%
Student > Bachelor 11 12%
Researcher 9 10%
Other 8 9%
Other 20 22%
Unknown 12 13%
Readers by discipline Count As %
Computer Science 19 20%
Sports and Recreations 12 13%
Physics and Astronomy 9 10%
Mathematics 9 10%
Engineering 7 8%
Other 22 24%
Unknown 15 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 99. 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 03 May 2022.
All research outputs
#351,140
of 22,487,039 outputs
Outputs from EPJ Data Science
#26
of 368 outputs
Outputs of similar age
#3,210
of 202,549 outputs
Outputs of similar age from EPJ Data Science
#1
of 1 outputs
Altmetric has tracked 22,487,039 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.1. 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 202,549 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 98% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them