| Title |
Diversity Arrays Technology (DArT) for Pan-Genomic Evolutionary Studies of Non-Model Organisms
|
|---|---|
| Published in |
PLOS ONE, February 2008
|
| DOI | 10.1371/journal.pone.0001682 |
| Pubmed ID | |
| Authors |
Karen E. James, Harald Schneider, Stephen W. Ansell, Margaret Evers, Lavinia Robba, Grzegorz Uszynski, Niklas Pedersen, Angela E. Newton, Stephen J. Russell, Johannes C. Vogel, Andrzej Kilian |
| Abstract |
High-throughput tools for pan-genomic study, especially the DNA microarray platform, have sparked a remarkable increase in data production and enabled a shift in the scale at which biological investigation is possible. The use of microarrays to examine evolutionary relationships and processes, however, is predominantly restricted to model or near-model organisms. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 124 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Norway | 3 | 2% |
| Brazil | 3 | 2% |
| Netherlands | 2 | 2% |
| India | 2 | 2% |
| Canada | 2 | 2% |
| United States | 2 | 2% |
| Spain | 1 | <1% |
| Unknown | 109 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 33 | 27% |
| Student > Ph. D. Student | 17 | 14% |
| Student > Master | 14 | 11% |
| Professor | 14 | 11% |
| Professor > Associate Professor | 12 | 10% |
| Other | 23 | 19% |
| Unknown | 11 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 83 | 67% |
| Biochemistry, Genetics and Molecular Biology | 9 | 7% |
| Environmental Science | 8 | 6% |
| Computer Science | 2 | 2% |
| Chemical Engineering | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 17 | 14% |