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 |
Artificial intelligence applied to analyzes during the pandemic: COVID-19 beds occupancy in the state of Rio Grande do Norte, Brazil
|
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Published in |
Frontiers in Artificial Intelligence, December 2023
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DOI | 10.3389/frai.2023.1290022 |
Pubmed ID | |
Authors |
Tiago de Oliveira Barreto, Nícolas Vinícius Rodrigues Veras, Pablo Holanda Cardoso, Felipe Ricardo dos Santos Fernandes, Luiz Paulo de Souza Medeiros, Maria Valéria Bezerra, Filomena Marques Queiroz de Andrade, Chander de Oliveira Pinheiro, Ignacio Sánchez-Gendriz, Gleyson José Pinheiro Caldeira Silva, Leandro Farias Rodrigues, Antonio Higor Freire de Morais, João Paulo Queiroz dos Santos, Jailton Carlos Paiva, Ion Garcia Mascarenhas de Andrade, Ricardo Alexsandro de Medeiros Valentim |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 2 | 17% |
Professor > Associate Professor | 1 | 8% |
Student > Postgraduate | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Student > Master | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 2 | 17% |
Nursing and Health Professions | 2 | 17% |
Computer Science | 1 | 8% |
Social Sciences | 1 | 8% |
Unknown | 6 | 50% |