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Mendeley readers
Chapter title |
Application of Machine Learning Techniques in Predicting MHC Binders
|
---|---|
Chapter number | 14 |
Book title |
Immunoinformatics
|
Published by |
Humana Press, January 2007
|
DOI | 10.1007/978-1-60327-118-9_14 |
Book ISBNs |
978-1-58829-699-3, 978-1-60327-118-9
|
Authors |
Sneh Lata, Manoj Bhasin, Gajendra P.S. Raghava, Lata, Sneh, Bhasin, Manoj, Raghava, Gajendra P.S. |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 3% |
United States | 1 | 1% |
France | 1 | 1% |
Argentina | 1 | 1% |
Unknown | 62 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 18% |
Researcher | 9 | 13% |
Student > Bachelor | 8 | 12% |
Professor > Associate Professor | 6 | 9% |
Student > Master | 6 | 9% |
Other | 12 | 18% |
Unknown | 14 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 30% |
Biochemistry, Genetics and Molecular Biology | 13 | 19% |
Immunology and Microbiology | 5 | 7% |
Medicine and Dentistry | 3 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 6 | 9% |
Unknown | 18 | 27% |