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Mendeley readers
Title |
Highly accurate sigmoidal fitting of real-time PCR data by introducing a parameter for asymmetry
|
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Published in |
BMC Bioinformatics, April 2008
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DOI | 10.1186/1471-2105-9-221 |
Pubmed ID | |
Authors |
Andrej-Nikolai Spiess, Caroline Feig, Christian Ritz |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Germany | 1 | <1% |
Sweden | 1 | <1% |
Ukraine | 1 | <1% |
Iran, Islamic Republic of | 1 | <1% |
Norway | 1 | <1% |
Belgium | 1 | <1% |
Mexico | 1 | <1% |
Spain | 1 | <1% |
Other | 1 | <1% |
Unknown | 170 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 52 | 28% |
Researcher | 43 | 23% |
Student > Master | 20 | 11% |
Professor > Associate Professor | 11 | 6% |
Student > Bachelor | 9 | 5% |
Other | 24 | 13% |
Unknown | 24 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 66 | 36% |
Biochemistry, Genetics and Molecular Biology | 30 | 16% |
Engineering | 15 | 8% |
Medicine and Dentistry | 7 | 4% |
Physics and Astronomy | 6 | 3% |
Other | 29 | 16% |
Unknown | 30 | 16% |