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Musical patterns for comparative epigenomics

Overview of attention for article published in Clinical Epigenetics, September 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#39 of 1,436)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
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55 X users

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
25 Mendeley
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Title
Musical patterns for comparative epigenomics
Published in
Clinical Epigenetics, September 2015
DOI 10.1186/s13148-015-0127-8
Pubmed ID
Authors

David Brocks

Abstract

Scientific data has been transformed into music in order to raise awareness in the non-scientific community. While the general public is nowadays familiar with the genetic code, there is still a lack of knowledge regarding epigenetic regulation. By making use of the binary nature of the methylome, we here describe a method that transforms methylation patterns into music. The resulting musical pieces show decent complexity and allow the audible recognition between music and underlying methylation state. This approach might therefore facilitate the recognition of complex methylation patterns and increase awareness for epigenetic regulation in the general public.

X Demographics

X Demographics

The data shown below were collected from the profiles of 55 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 32%
Researcher 4 16%
Student > Bachelor 2 8%
Student > Doctoral Student 2 8%
Student > Master 2 8%
Other 4 16%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 24%
Biochemistry, Genetics and Molecular Biology 4 16%
Medicine and Dentistry 4 16%
Computer Science 3 12%
Psychology 2 8%
Other 3 12%
Unknown 3 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 February 2020.
All research outputs
#923,766
of 25,373,627 outputs
Outputs from Clinical Epigenetics
#39
of 1,436 outputs
Outputs of similar age
#12,687
of 279,882 outputs
Outputs of similar age from Clinical Epigenetics
#4
of 40 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,436 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 97% 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 279,882 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 95% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.