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Mendeley readers
Chapter title |
SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints
|
---|---|
Chapter number | 17 |
Book title |
Algorithms for Computational Biology
|
Published by |
Springer, Cham, July 2014
|
DOI | 10.1007/978-3-319-07953-0_17 |
Book ISBNs |
978-3-31-907952-3, 978-3-31-907953-0
|
Authors |
Tomohiko Ohtsuki, Naoki Nariai, Kaname Kojima, Takahiro Mimori, Yukuto Sato, Yosuke Kawai, Yumi Yamaguchi-Kabata, Testuo Shibuya, Masao Nagasaki, Ohtsuki, Tomohiko, Nariai, Naoki, Kojima, Kaname, Mimori, Takahiro, Sato, Yukuto, Kawai, Yosuke, Yamaguchi-Kabata, Yumi, Shibuya, Testuo, Nagasaki, Masao |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 8 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 3 | 38% |
Researcher | 2 | 25% |
Student > Ph. D. Student | 1 | 13% |
Professor > Associate Professor | 1 | 13% |
Unknown | 1 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 25% |
Agricultural and Biological Sciences | 2 | 25% |
Medicine and Dentistry | 1 | 13% |
Engineering | 1 | 13% |
Unknown | 2 | 25% |