Title |
Mirna Expression Profiles Identify Drivers in Colorectal and Pancreatic Cancers
|
---|---|
Published in |
PLOS ONE, March 2012
|
DOI | 10.1371/journal.pone.0033663 |
Pubmed ID | |
Authors |
Ada Piepoli, Francesca Tavano, Massimiliano Copetti, Tommaso Mazza, Orazio Palumbo, Anna Panza, Francesco Fabio di Mola, Valerio Pazienza, Gianluigi Mazzoccoli, Giuseppe Biscaglia, Annamaria Gentile, Nicola Mastrodonato, Massimo Carella, Fabio Pellegrini, Pierluigi di Sebastiano, Angelo Andriulli |
Abstract |
Altered expression of microRNAs (miRNAs) hallmarks many cancer types. The study of the associations of miRNA expression profile and cancer phenotype could help identify the links between deregulation of miRNA expression and oncogenic pathways. |
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 States | 1 | 14% |
Italy | 1 | 14% |
Germany | 1 | 14% |
Unknown | 4 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 3 | 3% |
Belgium | 2 | 2% |
Portugal | 1 | <1% |
Mexico | 1 | <1% |
Brazil | 1 | <1% |
United States | 1 | <1% |
Luxembourg | 1 | <1% |
Unknown | 105 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 37 | 32% |
Student > Ph. D. Student | 26 | 23% |
Student > Master | 10 | 9% |
Student > Doctoral Student | 6 | 5% |
Professor > Associate Professor | 5 | 4% |
Other | 14 | 12% |
Unknown | 17 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 37 | 32% |
Biochemistry, Genetics and Molecular Biology | 24 | 21% |
Medicine and Dentistry | 22 | 19% |
Engineering | 4 | 3% |
Computer Science | 3 | 3% |
Other | 6 | 5% |
Unknown | 19 | 17% |