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Mendeley readers
| Title |
PPIRank - an advanced method for ranking protein-protein interations in TAP/MS data
|
|---|---|
| Published in |
Proteome Science, November 2013
|
| DOI | 10.1186/1477-5956-11-s1-s16 |
| Pubmed ID | |
| Authors |
Xiaoyun Sun, Pengyu Hong, Meghana Kulkarni, Young Kwon, Norbert Perrimon |
| Abstract |
Tandem affinity purification coupled with mass-spectrometry (TAP/MS) analysis is a popular method for the identification of novel endogenous protein-protein interactions (PPIs) in large-scale. Computational analysis of TAP/MS data is a critical step, particularly for high-throughput datasets, yet it remains challenging due to the noisy nature of TAP/MS data. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 30% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Other | 3 | 13% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 9 | 39% |
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Unspecified | 1 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Other | 2 | 9% |
| Unknown | 2 | 9% |