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Mendeley readers
Title |
Large-scale integration of cancer microarray data identifies a robust common cancer signature
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Published in |
BMC Bioinformatics, July 2007
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DOI | 10.1186/1471-2105-8-275 |
Pubmed ID | |
Authors |
Lei Xu, Donald Geman, Raimond L Winslow |
Abstract |
There is a continuing need to develop molecular diagnostic tools which complement histopathologic examination to increase the accuracy of cancer diagnosis. DNA microarrays provide a means for measuring gene expression signatures which can then be used as components of genomic-based diagnostic tests to determine the presence of cancer. |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 2% |
Germany | 1 | 1% |
Brazil | 1 | 1% |
France | 1 | 1% |
Russia | 1 | 1% |
Ukraine | 1 | 1% |
Unknown | 78 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 25 | 29% |
Student > Ph. D. Student | 17 | 20% |
Student > Master | 12 | 14% |
Professor | 6 | 7% |
Other | 5 | 6% |
Other | 11 | 13% |
Unknown | 9 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 30 | 35% |
Biochemistry, Genetics and Molecular Biology | 13 | 15% |
Computer Science | 11 | 13% |
Medicine and Dentistry | 7 | 8% |
Engineering | 5 | 6% |
Other | 9 | 11% |
Unknown | 10 | 12% |