| Title |
Extraction of Transcript Diversity from Scientific Literature
|
|---|---|
| Published in |
PLoS Computational Biology, June 2005
|
| DOI | 10.1371/journal.pcbi.0010010 |
| Pubmed ID | |
| Authors |
Parantu K Shah, Lars J Jensen, Stéphanie Boué, Peer Bork |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 5% |
| Austria | 1 | 5% |
| Australia | 1 | 5% |
| Belgium | 1 | 5% |
| Japan | 1 | 5% |
| United States | 1 | 5% |
| Serbia | 1 | 5% |
| Unknown | 15 | 68% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 55% |
| Student > Ph. D. Student | 9 | 41% |
| Professor | 7 | 32% |
| Professor > Associate Professor | 5 | 23% |
| Student > Master | 5 | 23% |
| Other | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 22 | 100% |
| Computer Science | 14 | 64% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Linguistics | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 3 | 14% |