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Mendeley readers
| Title |
Metaprotein expression modeling for label-free quantitative proteomics
|
|---|---|
| Published in |
BMC Bioinformatics, May 2012
|
| DOI | 10.1186/1471-2105-13-74 |
| Pubmed ID | |
| Authors |
Joseph E Lucas, J Will Thompson, Laura G Dubois, Jeanette McCarthy, Hans Tillmann, Alexander Thompson, Norah Shire, Ron Hendrickson, Francisco Dieguez, Phyllis Goldman, Kathleen Schwarz, Keyur Patel, John McHutchison, M Arthur Moseley |
| Abstract |
Label-free quantitative proteomics holds a great deal of promise for the future study of both medicine and biology. However, the data generated is extremely intricate in its correlation structure, and its proper analysis is complex. There are issues with missing identifications. There are high levels of correlation between many, but not all, of the peptides derived from the same protein. Additionally, there may be systematic shifts in the sensitivity of the machine between experiments or even through time within the duration of a single experiment. |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Croatia | 1 | 2% |
| Russia | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 54 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 25% |
| Student > Bachelor | 14 | 25% |
| Student > Ph. D. Student | 10 | 18% |
| Professor > Associate Professor | 3 | 5% |
| Other | 2 | 4% |
| Other | 8 | 14% |
| Unknown | 6 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 39% |
| Biochemistry, Genetics and Molecular Biology | 9 | 16% |
| Computer Science | 5 | 9% |
| Engineering | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 8 | 14% |
| Unknown | 7 | 12% |