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Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme

Overview of attention for article published in BioData Mining, January 2015
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Citations

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Title
Prediction of protein solvent accessibility using PSO-SVR with multiple sequence-derived features and weighted sliding window scheme
Published in
BioData Mining, January 2015
DOI 10.1186/s13040-014-0031-3
Pubmed ID
Authors

Jian Zhang, Wenhan Chen, Pingping Sun, Xiaowei Zhao, Zhiqiang Ma

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Hong Kong 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Student > Master 4 18%
Researcher 2 9%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 2 9%
Unknown 6 27%
Readers by discipline Count As %
Computer Science 7 32%
Biochemistry, Genetics and Molecular Biology 4 18%
Environmental Science 1 5%
Agricultural and Biological Sciences 1 5%
Earth and Planetary Sciences 1 5%
Other 2 9%
Unknown 6 27%