The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Timeline
Mendeley readers
| Title |
Machine learning analysis to predict health outcomes among emergency department users in Southern Brazil: a protocol study
|
|---|---|
| Published in |
Revista Brasileira de Epidemiologia, January 2021
|
| DOI | 10.1590/1980-549720210050 |
| Pubmed ID | |
| Authors |
Bruno Pereira Nunes, João Vissoci, Felipe Mendes Delpino, Pablo Stolz, Sabrina Ribeiro Farias, Bruna Borges Coelho, Inidiara da Silva Viegas, Denis Carlos Carvalho, Camila Sebaje da Silva Dias, Ana Paula Santana Coelho Almeida, Luiz Augusto Facchini, Alexandre Dias Porto Chiavegatto |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Student > Bachelor | 3 | 8% |
| Student > Postgraduate | 2 | 6% |
| Lecturer | 2 | 6% |
| Librarian | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 19 | 53% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 14% |
| Environmental Science | 2 | 6% |
| Engineering | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 4 | 11% |
| Unknown | 20 | 56% |