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Mendeley readers
| Title |
Recent Hits Acquired by BLAST (ReHAB): A tool to identify new hits in sequence similarity searches
|
|---|---|
| Published in |
BMC Bioinformatics, February 2005
|
| DOI | 10.1186/1471-2105-6-23 |
| Pubmed ID | |
| Authors |
Joe Whitney, David J Esteban, Chris Upton |
| Abstract |
Sequence similarity searching is a powerful tool to help develop hypotheses in the quest to assign functional, structural and evolutionary information to DNA and protein sequences. As sequence databases continue to grow exponentially, it becomes increasingly important to repeat searches at frequent intervals, and similarity searches retrieve larger and larger sets of results. New and potentially significant results may be buried in a long list of previously obtained sequence hits from past searches. |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 25% |
| Student > Bachelor | 2 | 17% |
| Professor > Associate Professor | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Other | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 50% |
| Environmental Science | 1 | 8% |
| Nursing and Health Professions | 1 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Computer Science | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 1 | 8% |