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uShuffle: A useful tool for shuffling biological sequences while preserving the k-let counts

Overview of attention for article published in BMC Bioinformatics, April 2008
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
105 Mendeley
citeulike
6 CiteULike
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Title
uShuffle: A useful tool for shuffling biological sequences while preserving the k-let counts
Published in
BMC Bioinformatics, April 2008
DOI 10.1186/1471-2105-9-192
Pubmed ID
Authors

Minghui Jiang, James Anderson, Joel Gillespie, Martin Mayne

Mendeley readers

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Spain 3 3%
Brazil 1 <1%
Sweden 1 <1%
Germany 1 <1%
New Zealand 1 <1%
Colombia 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Other 0 0%
Unknown 92 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 29%
Researcher 24 23%
Student > Master 12 11%
Student > Bachelor 9 9%
Professor > Associate Professor 7 7%
Other 18 17%
Unknown 5 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 50%
Biochemistry, Genetics and Molecular Biology 22 21%
Computer Science 12 11%
Immunology and Microbiology 2 2%
Mathematics 2 2%
Other 7 7%
Unknown 8 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 November 2010.
All research outputs
#11,256,373
of 17,389,828 outputs
Outputs from BMC Bioinformatics
#4,366
of 6,153 outputs
Outputs of similar age
#109,863
of 188,988 outputs
Outputs of similar age from BMC Bioinformatics
#2
of 2 outputs
Altmetric has tracked 17,389,828 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,153 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 20th percentile – i.e., 20% 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 188,988 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.