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Usefulness and limitations of dK random graph models to predict interactions and functional homogeneity in biological networks under a pseudo-likelihood parameter estimation approach

Overview of attention for article published in BMC Bioinformatics, September 2009
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Citations

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Title
Usefulness and limitations of dK random graph models to predict interactions and functional homogeneity in biological networks under a pseudo-likelihood parameter estimation approach
Published in
BMC Bioinformatics, September 2009
DOI 10.1186/1471-2105-10-277
Pubmed ID
Authors

Wenhui Wang, Juan Nunez-Iglesias, Yihui Luan, Fengzhu Sun

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 7%
Italy 1 7%
Unknown 13 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 20%
Researcher 3 20%
Other 1 7%
Student > Doctoral Student 1 7%
Professor 1 7%
Other 3 20%
Unknown 3 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 27%
Computer Science 3 20%
Biochemistry, Genetics and Molecular Biology 1 7%
Unspecified 1 7%
Decision Sciences 1 7%
Other 1 7%
Unknown 4 27%