You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
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
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% |