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Mendeley readers
Title |
Statistical protein quantification and significance analysis in label-free LC-MS experiments with complex designs
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Published in |
BMC Bioinformatics, November 2012
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DOI | 10.1186/1471-2105-13-s16-s6 |
Pubmed ID | |
Authors |
Timothy Clough, Safia Thaminy, Susanne Ragg, Ruedi Aebersold, Olga Vitek |
Abstract |
Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) is widely used for quantitative proteomic investigations. The typical output of such studies is a list of identified and quantified peptides. The biological and clinical interest is, however, usually focused on quantitative conclusions at the protein level. Furthermore, many investigations ask complex biological questions by studying multiple interrelated experimental conditions. Therefore, there is a need in the field for generic statistical models to quantify protein levels even in complex study designs. |
Mendeley readers
The data shown below were compiled from readership statistics for 281 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 1% |
United Kingdom | 2 | <1% |
South Africa | 1 | <1% |
India | 1 | <1% |
France | 1 | <1% |
Belgium | 1 | <1% |
Germany | 1 | <1% |
Spain | 1 | <1% |
Russia | 1 | <1% |
Other | 0 | 0% |
Unknown | 268 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 83 | 30% |
Student > Ph. D. Student | 72 | 26% |
Student > Master | 26 | 9% |
Student > Bachelor | 17 | 6% |
Other | 11 | 4% |
Other | 42 | 15% |
Unknown | 30 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 103 | 37% |
Biochemistry, Genetics and Molecular Biology | 60 | 21% |
Medicine and Dentistry | 20 | 7% |
Computer Science | 14 | 5% |
Chemistry | 11 | 4% |
Other | 36 | 13% |
Unknown | 37 | 13% |