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Mendeley readers
Title |
Automation of gene assignments to metabolic pathways using high-throughput expression data
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Published in |
BMC Bioinformatics, August 2005
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DOI | 10.1186/1471-2105-6-217 |
Pubmed ID | |
Authors |
Liviu Popescu, Golan Yona |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 17% |
Unknown | 19 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 57% |
Student > Ph. D. Student | 7 | 30% |
Student > Master | 4 | 17% |
Professor | 3 | 13% |
Professor > Associate Professor | 2 | 9% |
Other | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 20 | 87% |
Computer Science | 4 | 17% |
Biochemistry, Genetics and Molecular Biology | 3 | 13% |
Engineering | 3 | 13% |
Arts and Humanities | 1 | 4% |
Other | 3 | 13% |