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Mendeley readers
| Title |
An OpenMP-based tool for finding longest common subsequence in bioinformatics
|
|---|---|
| Published in |
BMC Research Notes, April 2019
|
| DOI | 10.1186/s13104-019-4256-6 |
| Pubmed ID | |
| Authors |
Rayhan Shikder, Parimala Thulasiraman, Pourang Irani, Pingzhao Hu |
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 % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 32% |
| Student > Bachelor | 4 | 18% |
| Student > Master | 3 | 14% |
| Lecturer | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 6 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 50% |
| Biochemistry, Genetics and Molecular Biology | 4 | 18% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unknown | 6 | 27% |