↓ Skip to main content

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
Altmetric Badge

Mentioned by

f1000
1 research highlight platform

Citations

dimensions_citation
143 Dimensions

Readers on

mendeley
110 Mendeley
citeulike
6 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Mendeley readers

The data shown below were compiled from readership statistics for 110 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 97 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 28%
Researcher 26 24%
Student > Master 12 11%
Student > Bachelor 9 8%
Professor > Associate Professor 7 6%
Other 17 15%
Unknown 8 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 47%
Biochemistry, Genetics and Molecular Biology 24 22%
Computer Science 12 11%
Mathematics 2 2%
Immunology and Microbiology 2 2%
Other 8 7%
Unknown 10 9%
Attention Score in Context

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
#15,676,645
of 23,295,606 outputs
Outputs from BMC Bioinformatics
#5,471
of 7,378 outputs
Outputs of similar age
#70,235
of 82,654 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 45 outputs
Altmetric has tracked 23,295,606 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,378 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 18th percentile – i.e., 18% 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 82,654 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.