Title |
Computational Mass Spectrometry–Based Proteomics
|
---|---|
Published in |
PLoS Computational Biology, December 2011
|
DOI | 10.1371/journal.pcbi.1002277 |
Pubmed ID | |
Authors |
Lukas Käll, Olga Vitek |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 29% |
United States | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 43% |
Members of the public | 3 | 43% |
Science communicators (journalists, bloggers, editors) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 8 | 3% |
United States | 7 | 3% |
Germany | 3 | 1% |
China | 3 | 1% |
Netherlands | 2 | <1% |
South Africa | 2 | <1% |
Denmark | 2 | <1% |
Switzerland | 2 | <1% |
Singapore | 2 | <1% |
Other | 7 | 3% |
Unknown | 237 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 79 | 29% |
Researcher | 75 | 27% |
Student > Master | 33 | 12% |
Student > Bachelor | 15 | 5% |
Professor > Associate Professor | 13 | 5% |
Other | 31 | 11% |
Unknown | 29 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 112 | 41% |
Biochemistry, Genetics and Molecular Biology | 54 | 20% |
Computer Science | 23 | 8% |
Chemistry | 18 | 7% |
Engineering | 7 | 3% |
Other | 27 | 10% |
Unknown | 34 | 12% |