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Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments

Overview of attention for article published in BMC Bioinformatics, September 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
25 tweeters

Readers on

mendeley
11 Mendeley
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Title
Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments
Published in
BMC Bioinformatics, September 2021
DOI 10.1186/s12859-021-04362-7
Pubmed ID
Authors

Edward J. Martin, Thomas R. Meagher, Daniel Barker

Twitter Demographics

The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 36%
Student > Master 2 18%
Unspecified 1 9%
Researcher 1 9%
Student > Bachelor 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Engineering 2 18%
Unspecified 1 9%
Chemical Engineering 1 9%
Physics and Astronomy 1 9%
Other 1 9%
Unknown 2 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 November 2021.
All research outputs
#1,428,854
of 21,017,702 outputs
Outputs from BMC Bioinformatics
#311
of 6,859 outputs
Outputs of similar age
#33,275
of 346,853 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 30 outputs
Altmetric has tracked 21,017,702 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,859 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has done particularly well, scoring higher than 95% 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 346,853 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 90% of its contemporaries.
We're also able to compare this research output to 30 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 99% of its contemporaries.