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X Demographics
Mendeley readers
| Title |
Transcriptome analysis for Caenorhabditis elegansbased on novel expressed sequence tags
|
|---|---|
| Published in |
BMC Biology, July 2008
|
| DOI | 10.1186/1741-7007-6-30 |
| Pubmed ID | |
| Authors |
Heesun Shin, Martin Hirst, Matthew N Bainbridge, Vincent Magrini, Elaine Mardis, Donald G Moerman, Marco A Marra, David L Baillie, Steven JM Jones |
| Abstract |
We have applied a high-throughput pyrosequencing technology for transcriptome profiling of Caenorhabditis elegans in its first larval stage. Using this approach, we have generated a large amount of data for expressed sequence tags, which provides an opportunity for the discovery of putative novel transcripts and alternative splice variants that could be developmentally specific to the first larval stage. This work also demonstrates the successful and efficient application of a next generation sequencing methodology. |
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 % |
|---|---|---|
| France | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 4 | 4% |
| United States | 3 | 3% |
| Germany | 2 | 2% |
| Brazil | 2 | 2% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| India | 1 | <1% |
| Colombia | 1 | <1% |
| Spain | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 89 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 29 | 27% |
| Student > Ph. D. Student | 24 | 23% |
| Professor > Associate Professor | 11 | 10% |
| Student > Bachelor | 8 | 8% |
| Student > Master | 7 | 7% |
| Other | 20 | 19% |
| Unknown | 7 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 78 | 74% |
| Biochemistry, Genetics and Molecular Biology | 13 | 12% |
| Veterinary Science and Veterinary Medicine | 1 | <1% |
| Environmental Science | 1 | <1% |
| Computer Science | 1 | <1% |
| Other | 4 | 4% |
| Unknown | 8 | 8% |