Title |
Global catalogue of microorganisms (gcm): a comprehensive database and information retrieval, analysis, and visualization system for microbial resources
|
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Published in |
BMC Genomics, December 2013
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DOI | 10.1186/1471-2164-14-933 |
Pubmed ID | |
Authors |
Linhuan Wu, Qinglan Sun, Hideaki Sugawara, Song Yang, Yuguang Zhou, Kevin McCluskey, Alexander Vasilenko, Ken-Ichiro Suzuki, Moriya Ohkuma, Yeonhee Lee, Vincent Robert, Supawadee Ingsriswang, François Guissart, Desmeth Philippe, Juncai Ma |
Abstract |
Throughout the long history of industrial and academic research, many microbes have been isolated, characterized and preserved (whenever possible) in culture collections. With the steady accumulation in observational data of biodiversity as well as microbial sequencing data, bio-resource centers have to function as data and information repositories to serve academia, industry, and regulators on behalf of and for the general public. Hence, the World Data Centre for Microorganisms (WDCM) started to take its responsibility for constructing an effective information environment that would promote and sustain microbial research data activities, and bridge the gaps currently present within and outside the microbiology communities. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 87 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 22 | 25% |
Student > Ph. D. Student | 12 | 14% |
Student > Bachelor | 10 | 11% |
Student > Doctoral Student | 8 | 9% |
Student > Master | 6 | 7% |
Other | 12 | 14% |
Unknown | 18 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 39% |
Biochemistry, Genetics and Molecular Biology | 11 | 13% |
Environmental Science | 5 | 6% |
Engineering | 4 | 5% |
Computer Science | 3 | 3% |
Other | 7 | 8% |
Unknown | 24 | 27% |