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Exploring Apprenticeship Learning for Player Modelling in Interactive Narratives

Overview of attention for article published in arXiv, October 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (62nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
9 Mendeley
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Title
Exploring Apprenticeship Learning for Player Modelling in Interactive Narratives
Published in
arXiv, October 2019
DOI 10.1145/3341215.3356314
Authors

Jessica Rivera-Villicana, Fabio Zambetta, James Harland, Marsha Berry

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 33%
Student > Ph. D. Student 1 11%
Professor 1 11%
Student > Master 1 11%
Professor > Associate Professor 1 11%
Other 0 0%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 5 56%
Arts and Humanities 1 11%
Engineering 1 11%
Unknown 2 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 November 2019.
All research outputs
#7,902,611
of 25,385,509 outputs
Outputs from arXiv
#136,396
of 915,125 outputs
Outputs of similar age
#135,607
of 368,977 outputs
Outputs of similar age from arXiv
#4,161
of 22,340 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 915,125 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 84% 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 368,977 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 62% of its contemporaries.
We're also able to compare this research output to 22,340 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.