| Title |
Early Detection of Malignant Pleural Mesothelioma in Asbestos-Exposed Individuals with a Noninvasive Proteomics-Based Surveillance Tool
|
|---|---|
| Published in |
PLOS ONE, October 2012
|
| DOI | 10.1371/journal.pone.0046091 |
| Pubmed ID | |
| Authors |
Rachel M. Ostroff, Michael R. Mehan, Alex Stewart, Deborah Ayers, Edward N. Brody, Stephen A. Williams, Stephen Levin, Brad Black, Michael Harbut, Michele Carbone, Chandra Goparaju, Harvey I. Pass |
| Abstract |
Malignant pleural mesothelioma (MM) is an aggressive, asbestos-related pulmonary cancer that is increasing in incidence. Because diagnosis is difficult and the disease is relatively rare, most patients present at a clinically advanced stage where possibility of cure is minimal. To improve surveillance and detection of MM in the high-risk population, we completed a series of clinical studies to develop a noninvasive test for early detection. |
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 | 3 | 43% |
| Italy | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| Colombia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Indonesia | 1 | 1% |
| Mexico | 1 | 1% |
| Singapore | 1 | 1% |
| Unknown | 77 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 20% |
| Researcher | 13 | 15% |
| Other | 10 | 12% |
| Student > Master | 10 | 12% |
| Student > Bachelor | 7 | 8% |
| Other | 17 | 20% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 29 | 34% |
| Agricultural and Biological Sciences | 11 | 13% |
| Chemistry | 6 | 7% |
| Immunology and Microbiology | 6 | 7% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Other | 13 | 15% |
| Unknown | 16 | 19% |