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Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis

Overview of attention for article published in Algorithms for Molecular Biology, May 2012
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About this Attention Score

  • Among the highest-scoring outputs from this source (#49 of 181)
  • Good Attention Score compared to outputs of the same age (66th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

wikipedia
1 Wikipedia page

Citations

dimensions_citation
23 Dimensions

Readers on

mendeley
41 Mendeley
citeulike
1 CiteULike
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Title
Pattern matching through Chaos Game Representation: bridging numerical and discrete data structures for biological sequence analysis
Published in
Algorithms for Molecular Biology, May 2012
DOI 10.1186/1748-7188-7-10
Pubmed ID
Authors

Susana Vinga, Alexandra M Carvalho, Alexandre P Francisco, Luís MS Russo, Jonas S Almeida

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 7%
Portugal 1 2%
Germany 1 2%
Unknown 36 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 24%
Researcher 7 17%
Student > Bachelor 5 12%
Professor 4 10%
Professor > Associate Professor 3 7%
Other 8 20%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 27%
Computer Science 9 22%
Engineering 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Physics and Astronomy 2 5%
Other 8 20%
Unknown 5 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 March 2017.
All research outputs
#3,601,498
of 12,434,464 outputs
Outputs from Algorithms for Molecular Biology
#49
of 181 outputs
Outputs of similar age
#102,433
of 338,167 outputs
Outputs of similar age from Algorithms for Molecular Biology
#1
of 9 outputs
Altmetric has tracked 12,434,464 research outputs across all sources so far. This one is in the 49th percentile – i.e., 49% of other outputs scored the same or lower than it.
So far Altmetric has tracked 181 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 67% 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 338,167 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 9 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