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X Demographics
Mendeley readers
| Title |
Utilizing Deep Machine Learning for Prognostication of Oral Squamous Cell Carcinoma—A Systematic Review
|
|---|---|
| Published by |
Frontiers, July 2021
|
| DOI | 10.3389/froh.2021.686863 |
| Pubmed ID | |
| Authors |
Rasheed Omobolaji Alabi, Ibrahim O. Bello, Omar Youssef, Mohammed Elmusrati, Antti A. Mäkitie, Alhadi Almangush |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 3 | 6% |
| Researcher | 3 | 6% |
| Other | 2 | 4% |
| Unspecified | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 32 | 65% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 12% |
| Computer Science | 5 | 10% |
| Unspecified | 2 | 4% |
| Nursing and Health Professions | 1 | 2% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 32 | 65% |