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X Demographics
Mendeley readers
| Title |
gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation
|
|---|---|
| Published in |
The Journal of Open Source Software, October 2017
|
| DOI | 10.21105/joss.00365 |
| Authors |
Conrad Sanderson, Ryan Curtin |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 4 | 33% |
| Other | 2 | 17% |
| Student > Master | 2 | 17% |
| Student > Doctoral Student | 1 | 8% |
| Lecturer | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 17% |
| Physics and Astronomy | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 8% |
| Psychology | 1 | 8% |
| Energy | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 3 | 25% |