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Mendeley readers
| Title |
ScottKnott: A Package for Performing the Scott-Knott Clustering Algorithm in R
|
|---|---|
| Published in |
Trends in Computational and Applied Mathematics, March 2014
|
| DOI | 10.5540/tema.2014.015.01.0003 |
| Authors |
Enio Jelihovschi, José Cláudio Faria, Ivan Bezerra Allaman |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 134 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 27 | 20% |
| Student > Ph. D. Student | 22 | 16% |
| Student > Doctoral Student | 20 | 15% |
| Student > Bachelor | 13 | 10% |
| Researcher | 9 | 7% |
| Other | 20 | 15% |
| Unknown | 25 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 57 | 42% |
| Computer Science | 13 | 10% |
| Engineering | 7 | 5% |
| Biochemistry, Genetics and Molecular Biology | 6 | 4% |
| Environmental Science | 5 | 4% |
| Other | 10 | 7% |
| Unknown | 38 | 28% |