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GraphDNA: a Java program for graphical display of DNA composition analyses

Overview of attention for article published in BMC Bioinformatics, January 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

wikipedia
2 Wikipedia pages

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
1 CiteULike
connotea
3 Connotea
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Title
GraphDNA: a Java program for graphical display of DNA composition analyses
Published in
BMC Bioinformatics, January 2007
DOI 10.1186/1471-2105-8-21
Pubmed ID
Authors

Jamie M Thomas, Daniel Horspool, Gordon Brown, Vasily Tcherepanov, Chris Upton

Abstract

Under conditions of no strand bias the number of Gs is equal to that of Cs for each DNA strand; similarly, the total number of Ts is equal to that of As. However, within each strand there are considerable local deviations from the A = T and G = C equality. These asymmetries in nucleotide composition have been extensively analyzed in prokaryotic and eukaryotic genomes and related to chromosome organization, transcription orientation and other processes in certain organisms. To carry out analysis of intra-strand nucleotide distribution several graphical methods have been developed.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Canada 1 2%
United Kingdom 1 2%
Mexico 1 2%
France 1 2%
Unknown 36 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 38%
Student > Ph. D. Student 8 19%
Student > Master 6 14%
Professor 4 10%
Professor > Associate Professor 3 7%
Other 5 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 57%
Biochemistry, Genetics and Molecular Biology 6 14%
Medicine and Dentistry 4 10%
Computer Science 3 7%
Nursing and Health Professions 1 2%
Other 2 5%
Unknown 2 5%

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 29 August 2009.
All research outputs
#3,577,529
of 12,373,386 outputs
Outputs from BMC Bioinformatics
#1,717
of 4,576 outputs
Outputs of similar age
#78,198
of 265,805 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 98 outputs
Altmetric has tracked 12,373,386 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 4,576 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 53% 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 265,805 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 98 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.