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Mendeley readers
Title |
Cross-platform comparability of microarray technology: Intra-platform consistency and appropriate data analysis procedures are essential
|
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Published in |
BMC Bioinformatics, July 2005
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DOI | 10.1186/1471-2105-6-s2-s12 |
Pubmed ID | |
Authors |
Leming Shi, Weida Tong, Hong Fang, Uwe Scherf, Jing Han, Raj K Puri, Felix W Frueh, Federico M Goodsaid, Lei Guo, Zhenqiang Su, Tao Han, James C Fuscoe, Z aAlex Xu, Tucker A Patterson, Huixiao Hong, Qian Xie, Roger G Perkins, James J Chen, Daniel A Casciano |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 6% |
Germany | 2 | 2% |
Italy | 2 | 2% |
Belgium | 2 | 2% |
Brazil | 1 | <1% |
United Kingdom | 1 | <1% |
Australia | 1 | <1% |
France | 1 | <1% |
Mexico | 1 | <1% |
Other | 2 | 2% |
Unknown | 87 | 82% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 34 | 32% |
Student > Ph. D. Student | 27 | 25% |
Professor | 8 | 8% |
Other | 8 | 8% |
Student > Master | 7 | 7% |
Other | 16 | 15% |
Unknown | 6 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 48 | 45% |
Computer Science | 15 | 14% |
Biochemistry, Genetics and Molecular Biology | 11 | 10% |
Medicine and Dentistry | 7 | 7% |
Mathematics | 3 | 3% |
Other | 11 | 10% |
Unknown | 11 | 10% |