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Genomic DNA k-mer spectra: models and modalities

Overview of attention for article published in Genome Biology (Online Edition), January 2009
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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 (84th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters
patent
1 patent
facebook
1 Facebook page
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
139 Dimensions

Readers on

mendeley
363 Mendeley
citeulike
17 CiteULike
connotea
3 Connotea
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Title
Genomic DNA k-mer spectra: models and modalities
Published in
Genome Biology (Online Edition), January 2009
DOI 10.1186/gb-2009-10-10-r108
Pubmed ID
Authors

Benny Chor, David Horn, Nick Goldman, Yaron Levy, Tim Massingham

Abstract

The empirical frequencies of DNA k-mers in whole genome sequences provide an interesting perspective on genomic complexity, and the availability of large segments of genomic sequence from many organisms means that analysis of k-mers with non-trivial lengths is now possible.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 363 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 4%
Germany 6 2%
Australia 5 1%
United Kingdom 4 1%
Brazil 4 1%
France 3 <1%
Argentina 3 <1%
Chile 2 <1%
Italy 2 <1%
Other 12 3%
Unknown 308 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 100 28%
Student > Ph. D. Student 91 25%
Student > Master 46 13%
Student > Bachelor 24 7%
Professor > Associate Professor 18 5%
Other 53 15%
Unknown 31 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 178 49%
Biochemistry, Genetics and Molecular Biology 69 19%
Computer Science 46 13%
Mathematics 8 2%
Immunology and Microbiology 5 1%
Other 21 6%
Unknown 36 10%

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 23 June 2021.
All research outputs
#3,236,606
of 19,798,657 outputs
Outputs from Genome Biology (Online Edition)
#2,243
of 3,872 outputs
Outputs of similar age
#52,089
of 335,928 outputs
Outputs of similar age from Genome Biology (Online Edition)
#53
of 84 outputs
Altmetric has tracked 19,798,657 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,872 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.9. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 335,928 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 84% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.