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WordSeeker: concurrent bioinformatics software for discovering genome-wide patterns and word-based genomic signatures

Overview of attention for article published in BMC Bioinformatics, December 2010
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Citations

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46 Mendeley
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3 CiteULike
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Title
WordSeeker: concurrent bioinformatics software for discovering genome-wide patterns and word-based genomic signatures
Published in
BMC Bioinformatics, December 2010
DOI 10.1186/1471-2105-11-s12-s6
Pubmed ID
Authors

Jens Lichtenberg, Kyle Kurz, Xiaoyu Liang, Rami Al-ouran, Lev Neiman, Lee J Nau, Joshua D Welch, Edwin Jacox, Thomas Bitterman, Klaus Ecker, Laura Elnitski, Frank Drews, Stephen Sauchi Lee, Lonnie R Welch

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
France 1 2%
Israel 1 2%
Australia 1 2%
Korea, Republic of 1 2%
Estonia 1 2%
Unknown 39 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 30%
Student > Ph. D. Student 10 22%
Student > Master 9 20%
Student > Doctoral Student 3 7%
Professor > Associate Professor 3 7%
Other 3 7%
Unknown 4 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 59%
Computer Science 9 20%
Medicine and Dentistry 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Mathematics 1 2%
Other 0 0%
Unknown 5 11%