Advances in Digital Science
Springer International Publishing
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Timeline
X Demographics
Mendeley readers
| Chapter title |
Prediction Models for Polycystic Ovary Syndrome Using Data Mining
|
|---|---|
| Book title |
Advances in Digital Science
|
| Published by |
Springer, Cham, March 2021
|
| DOI | 10.1007/978-3-030-71782-7_19 |
| Book ISBNs |
978-3-03-071781-0, 978-3-03-071782-7
|
| Authors |
Cristiana Neto, Mateus Silva, Mariana Fernandes, Diana Ferreira, José Machado, Neto, Cristiana, Silva, Mateus, Fernandes, Mariana, Ferreira, Diana, Machado, José |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 14% |
| Lecturer | 1 | 7% |
| Other | 1 | 7% |
| Student > Doctoral Student | 1 | 7% |
| Student > Postgraduate | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 8 | 57% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 29% |
| Earth and Planetary Sciences | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 8 | 57% |