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Mendeley readers
Title |
Too much data, but little inter-changeability: a lesson learned from mining public data on tissue specificity of gene expression
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Published in |
Biology Direct, October 2006
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DOI | 10.1186/1745-6150-1-33 |
Pubmed ID | |
Authors |
Shuyu Li, Yiqun Helen Li, Tao Wei, Eric Wen Su, Kevin Duffin, Birong Liao |
Abstract |
The tissue expression pattern of a gene often provides an important clue to its potential role in a biological process. A vast amount of gene expression data have been and are being accumulated in public repository through different technology platforms. However, exploitations of these rich data sources remain limited in part due to issues of technology standardization. Our objective is to test the data comparability between SAGE and microarray technologies, through examining the expression pattern of genes under normal physiological states across variety of tissues. |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Mexico | 1 | 7% |
United States | 1 | 7% |
Greece | 1 | 7% |
Brazil | 1 | 7% |
Unknown | 10 | 71% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 43% |
Student > Ph. D. Student | 3 | 21% |
Student > Master | 2 | 14% |
Other | 1 | 7% |
Professor | 1 | 7% |
Other | 1 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 43% |
Computer Science | 5 | 36% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Social Sciences | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 0 | 0% |