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Mendeley demographics
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| Title |
Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa
|
|---|---|
| Published in |
Journal of Global Health, April 2022
|
| DOI | 10.7189/jogh.12.04021 |
| Pubmed ID | |
| Authors |
Sunil Sazawal, Sayan Das, Kelli K Ryckman, Rasheda Khanam, Imran Nisar, Saikat Deb, Elizabeth A Jasper, Sayedur Rahman, Usma Mehmood, Arup Dutta, Nabidul Haque Chowdhury, Amina Barkat, Harshita Mittal, Salahuddin Ahmed, Farah Khalid, Said Mohammed Ali, Rubhana Raqib, Muhammad Ilyas, Ambreen Nizar, Alexander Manu, Donna Russell, Sachiyo Yoshida, Abdullah H Baqui, Fyezah Jehan, Usha Dhingra, Rajiv Bahl |
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Mendeley demographics
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 14% |
| Lecturer | 3 | 7% |
| Student > Ph. D. Student | 2 | 5% |
| Researcher | 2 | 5% |
| Student > Doctoral Student | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 29 | 66% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 5 | 11% |
| Nursing and Health Professions | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Environmental Science | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 29 | 66% |