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Using Generative Artificial Intelligence to Identify Themes of Basic Psychological Needs in Popular Song Lyrics

Overview of attention for article published in Psychology of Music, August 2026
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)

Mentioned by

news
10 news outlets
blogs
1 blog

Readers on

mendeley
8 Mendeley
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Article details
Title
Using Generative Artificial Intelligence to Identify Themes of Basic Psychological Needs in Popular Song Lyrics
Published in
Psychology of Music, August 2026
DOI 10.1177/03057356261465628
Authors

Hermione H. Liu, Suzy E. Miller, Mark A. Lee, Nicholas Matherne, Damien J. Miller, Emma D’Aprano

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Unspecified 7 88%
Student > Ph. D. Student 1 13%
Readers by discipline
Readers by discipline Count As %
Unspecified 7 88%
Psychology 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 17 September 2026.
All research outputs
#679,857
of 34,344,963 outputs
Outputs from Psychology of Music
#56
of 753 outputs
Outputs of similar age
#4,340
of 300,741 outputs
Outputs of similar age from Psychology of Music
#1
of 1 outputs
Altmetric has tracked 34,344,963 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 753 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.5. This one has done particularly well, scoring higher than 92% 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 300,741 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