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Mendeley readers
Title |
WordSeeker: concurrent bioinformatics software for discovering genome-wide patterns and word-based genomic signatures
|
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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
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% |