Title |
The microbiome quality control project: baseline study design and future directions
|
---|---|
Published in |
Genome Biology, December 2015
|
DOI | 10.1186/s13059-015-0841-8 |
Pubmed ID | |
Authors |
Rashmi Sinha, Christian C. Abnet, Owen White, Rob Knight, Curtis Huttenhower |
Abstract |
Microbiome research has grown exponentially over the past several years, but studies have been difficult to reproduce across investigations. Relevant variation in measurements between laboratories, from a variety of sources, has not been systematically assessed. This is coupled with a growing concern in the scientific community about the lack of reproducibility in biomedical research. The Microbiome Quality Control project (MBQC) was initiated to identify sources of variation in microbiome studies, to quantify their magnitudes, and to assess the design and utility of different positive and negative control strategies. Here we report on the first MBQC baseline study project and workshop. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 10 | 18% |
United Kingdom | 6 | 11% |
France | 5 | 9% |
Canada | 3 | 5% |
Australia | 2 | 4% |
Portugal | 1 | 2% |
Netherlands | 1 | 2% |
Spain | 1 | 2% |
Germany | 1 | 2% |
Other | 2 | 4% |
Unknown | 23 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 28 | 51% |
Members of the public | 23 | 42% |
Science communicators (journalists, bloggers, editors) | 3 | 5% |
Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 2% |
Germany | 2 | <1% |
Brazil | 2 | <1% |
Canada | 2 | <1% |
Norway | 1 | <1% |
Portugal | 1 | <1% |
United Kingdom | 1 | <1% |
Belgium | 1 | <1% |
New Zealand | 1 | <1% |
Other | 0 | 0% |
Unknown | 357 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 80 | 21% |
Student > Ph. D. Student | 74 | 20% |
Student > Master | 54 | 14% |
Student > Bachelor | 27 | 7% |
Professor > Associate Professor | 20 | 5% |
Other | 66 | 18% |
Unknown | 55 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 131 | 35% |
Biochemistry, Genetics and Molecular Biology | 75 | 20% |
Medicine and Dentistry | 28 | 7% |
Immunology and Microbiology | 24 | 6% |
Computer Science | 12 | 3% |
Other | 45 | 12% |
Unknown | 61 | 16% |