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A comparative phylogenetic study of genetics and folk music

Overview of attention for article published in Molecular Genetics and Genomics, March 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#31 of 3,318)
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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Citations

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35 Dimensions

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47 Mendeley
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3 CiteULike
Title
A comparative phylogenetic study of genetics and folk music
Published in
Molecular Genetics and Genomics, March 2012
DOI 10.1007/s00438-012-0683-y
Pubmed ID
Authors

Horolma Pamjav, Zoltán Juhász, Andrea Zalán, Endre Németh, Bayarlkhagva Damdin

Abstract

Computer-aided comparison of folk music from different nations is one of the newest research areas. We were intrigued to have identified some important similarities between phylogenetic studies and modern folk music. First of all, both of them use similar concepts and representation tools such as multidimensional scaling for modelling relationship between populations. This gave us the idea to investigate whether these connections are merely accidental or if they mirror population migrations from the past. We raised the question; does the complex structure of musical connections display a clear picture and can this system be interpreted by the genetic analysis? This study is the first to systematically investigate the incidental genetic background of the folk music context between different populations. Paternal (42 populations) and maternal lineages (56 populations) were compared based on Fst genetic distances of the Y chromosomal and mtDNA haplogroup frequencies. To test this hypothesis, the corresponding musical cultures were also compared using an automatic overlap analysis of parallel melody styles for 31 Eurasian nations. We found that close musical relations of populations indicate close genetic distances (<0.05) with a probability of 82%. It was observed that there is a significant correlation between population genetics and folk music; maternal lineages have a more important role in folk music traditions than paternal lineages. Furthermore, the combination of these disciplines establishing a new interdisciplinary research field of "music-genetics" can be an efficient tool to get a more comprehensive picture on the complex behaviour of populations in prehistoric time.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Hungary 1 2%
Unknown 45 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 10 21%
Student > Master 5 11%
Student > Bachelor 4 9%
Student > Doctoral Student 3 6%
Other 7 15%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 30%
Biochemistry, Genetics and Molecular Biology 8 17%
Psychology 5 11%
Social Sciences 3 6%
Arts and Humanities 2 4%
Other 10 21%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 06 January 2016.
All research outputs
#2,551,551
of 25,373,627 outputs
Outputs from Molecular Genetics and Genomics
#31
of 3,318 outputs
Outputs of similar age
#14,757
of 168,399 outputs
Outputs of similar age from Molecular Genetics and Genomics
#1
of 7 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,318 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done particularly well, scoring higher than 99% 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 168,399 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 91% of its contemporaries.
We're also able to compare this research output to 7 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