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Mendeley readers
Title |
Sequence based residue depth prediction using evolutionary information and predicted secondary structure
|
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Published in |
BMC Bioinformatics, September 2008
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DOI | 10.1186/1471-2105-9-388 |
Pubmed ID | |
Authors |
Hua Zhang, Tuo Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz Kurgan |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 3% |
Iran, Islamic Republic of | 1 | 3% |
Taiwan | 1 | 3% |
Denmark | 1 | 3% |
United States | 1 | 3% |
Unknown | 25 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 43% |
Researcher | 4 | 13% |
Professor | 4 | 13% |
Other | 2 | 7% |
Student > Master | 2 | 7% |
Other | 3 | 10% |
Unknown | 2 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 11 | 37% |
Computer Science | 6 | 20% |
Biochemistry, Genetics and Molecular Biology | 4 | 13% |
Chemistry | 2 | 7% |
Medicine and Dentistry | 1 | 3% |
Other | 1 | 3% |
Unknown | 5 | 17% |