| Title |
Tissue Specific Electrochemical Fingerprinting
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0049654 |
| Pubmed ID | |
| Authors |
Pavlina Sobrova, Lenka Vyslouzilova, Olga Stepankova, Marketa Ryvolova, Jiri Anyz, Libuse Trnkova, Vojtech Adam, Jaromir Hubalek, Rene Kizek |
| Abstract |
Proteomics and metalloproteomics are rapidly developing interdisciplinary fields providing enormous amounts of data to be classified, evaluated and interpreted. Approaches offered by bioinformatics and also by biostatistical data analysis and treatment are therefore of extreme interest. Numerous methods are now available as commercial or open source tools for data processing and modelling ready to support the analysis of various datasets. The analysis of scientific data remains a big challenge, because each new task sets its specific requirements and constraints that call for the design of a targeted data pre-processing approach. |
X Demographics
The data shown below were collected from the profiles of 4 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 States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 6% |
| Unknown | 15 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Professor > Associate Professor | 3 | 19% |
| Student > Master | 3 | 19% |
| Professor | 2 | 13% |
| Student > Doctoral Student | 2 | 13% |
| Other | 1 | 6% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 19% |
| Computer Science | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Business, Management and Accounting | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Other | 4 | 25% |
| Unknown | 3 | 19% |