| Title |
SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution
|
|---|---|
| Published in |
PLoS Computational Biology, August 2014
|
| DOI | 10.1371/journal.pcbi.1003665 |
| Pubmed ID | |
| Authors |
Christopher A. Miller, Brian S. White, Nathan D. Dees, Malachi Griffith, John S. Welch, Obi L. Griffith, Ravi Vij, Michael H. Tomasson, Timothy A. Graubert, Matthew J. Walter, Matthew J. Ellis, William Schierding, John F. DiPersio, Timothy J. Ley, Elaine R. Mardis, Richard K. Wilson, Li Ding |
X Demographics
The data shown below were collected from the profiles of 36 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 | 20 | 56% |
| Canada | 3 | 8% |
| Argentina | 1 | 3% |
| Montenegro | 1 | 3% |
| Switzerland | 1 | 3% |
| Spain | 1 | 3% |
| Sweden | 1 | 3% |
| Unknown | 8 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 22 | 61% |
| Members of the public | 13 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 498 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 12 | 2% |
| United Kingdom | 4 | <1% |
| Italy | 4 | <1% |
| Germany | 3 | <1% |
| China | 2 | <1% |
| Canada | 2 | <1% |
| Korea, Republic of | 1 | <1% |
| Australia | 1 | <1% |
| Norway | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 460 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 119 | 24% |
| Student > Ph. D. Student | 112 | 22% |
| Student > Master | 49 | 10% |
| Student > Bachelor | 39 | 8% |
| Student > Doctoral Student | 31 | 6% |
| Other | 71 | 14% |
| Unknown | 77 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 153 | 31% |
| Biochemistry, Genetics and Molecular Biology | 133 | 27% |
| Computer Science | 50 | 10% |
| Medicine and Dentistry | 43 | 9% |
| Mathematics | 11 | 2% |
| Other | 25 | 5% |
| Unknown | 83 | 17% |