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Mendeley readers
| Title |
Analysis of risk factors progression of preterm delivery using electronic health records
|
|---|---|
| Published in |
BioData Mining, August 2022
|
| DOI | 10.1186/s13040-022-00298-7 |
| Pubmed ID | |
| Authors |
Zeineb Safi, Neethu Venugopal, Haytham Ali, Michel Makhlouf, Faisal Farooq, Sabri Boughorbel |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 22% |
| Researcher | 1 | 11% |
| Unknown | 6 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Nursing and Health Professions | 1 | 11% |
| Decision Sciences | 1 | 11% |
| Unknown | 6 | 67% |