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Mendeley readers
Chapter title |
Designing Successful Proteomics Experiments
|
---|---|
Chapter number | 19 |
Book title |
Proteomics
|
Published in |
Methods in molecular biology, December 2016
|
DOI | 10.1007/978-1-4939-6747-6_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-6745-2, 978-1-4939-6747-6
|
Authors |
Daniel Ruderman |
Editors |
Lucio Comai, Jonathan E. Katz, Parag Mallick |
Abstract |
Because proteomics experiments are so complex they can readily fail, and do so without clear cause. Using standard experimental design techniques and incorporating quality control can greatly increase the chances of success. This chapter introduces the relevant concepts and provides examples specific to proteomic workflows. Applying these notions to design successful proteomics experiments is straightforward. It can help identify failure causes and greatly increase the likelihood of inter-laboratory reproducibility. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 30% |
Professor > Associate Professor | 3 | 15% |
Researcher | 2 | 10% |
Other | 1 | 5% |
Professor | 1 | 5% |
Other | 3 | 15% |
Unknown | 4 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 5 | 25% |
Biochemistry, Genetics and Molecular Biology | 4 | 20% |
Chemistry | 3 | 15% |
Business, Management and Accounting | 1 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Other | 0 | 0% |
Unknown | 6 | 30% |