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Sequence based residue depth prediction using evolutionary information and predicted secondary structure

Overview of attention for article published in BMC Bioinformatics, September 2008
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Title
Sequence based residue depth prediction using evolutionary information and predicted secondary structure
Published in
BMC Bioinformatics, September 2008
DOI 10.1186/1471-2105-9-388
Pubmed ID
Authors

Hua Zhang, Tuo Zhang, Ke Chen, Shiyi Shen, Jishou Ruan, Lukasz Kurgan

Mendeley readers

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%