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Mendeley readers
Chapter title |
Automated Genome Annotation and Metabolic Model Reconstruction in the SEED and Model SEED
|
---|---|
Chapter number | 2 |
Book title |
Systems Metabolic Engineering
|
Published in |
Methods in molecular biology, January 2013
|
DOI | 10.1007/978-1-62703-299-5_2 |
Pubmed ID | |
Book ISBNs |
978-1-62703-298-8, 978-1-62703-299-5
|
Authors |
Scott Devoid, Ross Overbeek, Matthew DeJongh, Veronika Vonstein, Aaron A. Best, Christopher Henry, Devoid, Scott, Overbeek, Ross, DeJongh, Matthew, Vonstein, Veronika, Best, Aaron A., Henry, Christopher |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 4% |
Germany | 1 | <1% |
France | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
United Kingdom | 1 | <1% |
Belgium | 1 | <1% |
Taiwan | 1 | <1% |
Unknown | 138 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 25% |
Researcher | 23 | 15% |
Student > Master | 21 | 14% |
Student > Bachelor | 11 | 7% |
Professor > Associate Professor | 7 | 5% |
Other | 19 | 13% |
Unknown | 31 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 53 | 35% |
Biochemistry, Genetics and Molecular Biology | 28 | 19% |
Engineering | 12 | 8% |
Computer Science | 9 | 6% |
Immunology and Microbiology | 3 | 2% |
Other | 14 | 9% |
Unknown | 31 | 21% |