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Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes

Overview of attention for article published in arXiv, February 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

twitter
12 X users

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
30 Mendeley
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Title
Listener Modeling and Context-Aware Music Recommendation Based on Country Archetypes
Published in
arXiv, February 2021
DOI 10.3389/frai.2020.508725
Pubmed ID
Authors

Markus Schedl, Christine Bauer, Wolfgang Reisinger, Dominik Kowald, Elisabeth Lex

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 17%
Unspecified 3 10%
Professor 3 10%
Student > Master 2 7%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 14 47%
Readers by discipline Count As %
Computer Science 6 20%
Unspecified 3 10%
Arts and Humanities 1 3%
Business, Management and Accounting 1 3%
Mathematics 1 3%
Other 2 7%
Unknown 16 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 02 February 2021.
All research outputs
#4,805,826
of 25,387,668 outputs
Outputs from arXiv
#86,796
of 915,148 outputs
Outputs of similar age
#126,095
of 527,330 outputs
Outputs of similar age from arXiv
#2,423
of 24,133 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 915,148 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 90% 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 527,330 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 24,133 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.