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Bayesian Inference for Genomic Data Integration Reduces Misclassification Rate in Predicting Protein-Protein Interactions

Overview of attention for article published in PLoS Computational Biology, July 2011
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Title
Bayesian Inference for Genomic Data Integration Reduces Misclassification Rate in Predicting Protein-Protein Interactions
Published in
PLoS Computational Biology, July 2011
DOI 10.1371/journal.pcbi.1002110
Pubmed ID
Authors

Chuanhua Xing, David B. Dunson

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 9%
Germany 1 2%
France 1 2%
United Kingdom 1 2%
Korea, Republic of 1 2%
Slovenia 1 2%
Canada 1 2%
Unknown 44 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 44%
Researcher 15 27%
Student > Master 7 13%
Student > Bachelor 3 5%
Professor > Associate Professor 2 4%
Other 2 4%
Unknown 2 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 40%
Computer Science 10 18%
Mathematics 6 11%
Biochemistry, Genetics and Molecular Biology 4 7%
Psychology 2 4%
Other 8 15%
Unknown 3 5%