The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
| Title |
XGSleeve: detecting sleeve incidents in well completion by using XGBoost classifier
|
|---|---|
| Published in |
Frontiers in Artificial Intelligence, September 2023
|
| DOI | 10.3389/frai.2023.1243584 |
| Pubmed ID | |
| Authors |
Sahand Somi, Sheikh Jubair, David Cooper, Peng Wang |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 18% |
| Professor | 1 | 9% |
| Professor > Associate Professor | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 18% |
| Nursing and Health Professions | 1 | 9% |
| Computer Science | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 6 | 55% |