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Machine Learning and Data Mining for Sports Analytics

Overview of attention for book
Overall attention for this book and its chapters
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
4 tweeters

Readers on

mendeley
18 Mendeley
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Title
Machine Learning and Data Mining for Sports Analytics
Published by
Lecture notes in computer science, January 2019
DOI 10.1007/978-3-030-17274-9
ISBNs
978-3-03-017273-2, 978-3-03-017274-9
Editors

Brefeld, Ulf, Davis, Jesse, Van Haaren, Jan, Zimmermann, Albrecht

Twitter Demographics

The data shown below were collected from the profiles of 4 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 33%
Student > Master 4 22%
Researcher 4 22%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 6%
Other 1 6%
Readers by discipline Count As %
Business, Management and Accounting 4 22%
Engineering 3 17%
Sports and Recreations 3 17%
Computer Science 3 17%
Linguistics 1 6%
Other 4 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 June 2020.
All research outputs
#8,704,112
of 15,808,355 outputs
Outputs from Lecture notes in computer science
#3,551
of 7,604 outputs
Outputs of similar age
#128,328
of 271,887 outputs
Outputs of similar age from Lecture notes in computer science
#3
of 5 outputs
Altmetric has tracked 15,808,355 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 7,604 research outputs from this source. They receive a mean Attention Score of 4.5. This one has gotten more attention than average, scoring higher than 51% 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 271,887 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 51% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.