Title |
DIPSBC - data integration platform for systems biology collaborations
|
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Published in |
BMC Bioinformatics, May 2012
|
DOI | 10.1186/1471-2105-13-85 |
Pubmed ID | |
Authors |
Felix Dreher, Thomas Kreitler, Christopher Hardt, Atanas Kamburov, Reha Yildirimman, Karl Schellander, Hans Lehrach, Bodo MH Lange, Ralf Herwig |
Abstract |
Modern biomedical research is often organized in collaborations involving labs worldwide. In particular in systems biology, complex molecular systems are analyzed that require the generation and interpretation of heterogeneous data for their explanation, for example ranging from gene expression studies and mass spectrometry measurements to experimental techniques for detecting molecular interactions and functional assays. XML has become the most prominent format for representing and exchanging these data. However, besides the development of standards there is still a fundamental lack of data integration systems that are able to utilize these exchange formats, organize the data in an integrative way and link it with applications for data interpretation and analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 22% |
Australia | 1 | 11% |
Hong Kong | 1 | 11% |
Netherlands | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 56% |
Members of the public | 3 | 33% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 7% |
Germany | 3 | 6% |
France | 1 | 2% |
Bulgaria | 1 | 2% |
South Africa | 1 | 2% |
Australia | 1 | 2% |
Singapore | 1 | 2% |
United Kingdom | 1 | 2% |
Unknown | 41 | 76% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 19 | 35% |
Student > Ph. D. Student | 10 | 19% |
Student > Master | 6 | 11% |
Other | 5 | 9% |
Student > Bachelor | 4 | 7% |
Other | 8 | 15% |
Unknown | 2 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 21 | 39% |
Computer Science | 14 | 26% |
Biochemistry, Genetics and Molecular Biology | 6 | 11% |
Medicine and Dentistry | 4 | 7% |
Engineering | 2 | 4% |
Other | 5 | 9% |
Unknown | 2 | 4% |