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Profiled support vector machines for antisense oligonucleotide efficacy prediction

Overview of attention for article published in BMC Bioinformatics, September 2004
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Citations

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Title
Profiled support vector machines for antisense oligonucleotide efficacy prediction
Published in
BMC Bioinformatics, September 2004
DOI 10.1186/1471-2105-5-135
Pubmed ID
Authors

Gustavo Camps-Valls, Alistair M Chalk, Antonio J Serrano-López, José D Martín-Guerrero, Erik LL Sonnhammer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 4%
United States 1 4%
Brazil 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Professor > Associate Professor 5 20%
Student > Master 4 16%
Student > Ph. D. Student 3 12%
Other 2 8%
Other 4 16%
Unknown 1 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 32%
Computer Science 6 24%
Biochemistry, Genetics and Molecular Biology 3 12%
Engineering 3 12%
Mathematics 1 4%
Other 2 8%
Unknown 2 8%