| Title |
Novel Molecular and Computational Methods Improve the Accuracy of Insertion Site Analysis in Sleeping Beauty-Induced Tumors
|
|---|---|
| Published in |
PLOS ONE, September 2011
|
| DOI | 10.1371/journal.pone.0024668 |
| Pubmed ID | |
| Authors |
Benjamin T. Brett, Katherine E. Berquam-Vrieze, Kishore Nannapaneni, Jian Huang, Todd E. Scheetz, Adam J. Dupuy |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 4% |
| United States | 2 | 4% |
| Spain | 1 | 2% |
| Unknown | 52 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 40% |
| Student > Ph. D. Student | 15 | 26% |
| Student > Bachelor | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Student > Master | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 7 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 47% |
| Biochemistry, Genetics and Molecular Biology | 10 | 18% |
| Medicine and Dentistry | 5 | 9% |
| Computer Science | 3 | 5% |
| Environmental Science | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 8 | 14% |