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Prevalence evolution of SARS-CoV-2 infection in the city of São Paulo, 2020–2021

Overview of attention for article published in Revista de Saúde Pública, October 2021
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Mentioned by

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1 news outlet
twitter
1 tweeter

Readers on

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12 Mendeley
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Title
Prevalence evolution of SARS-CoV-2 infection in the city of São Paulo, 2020–2021
Published in
Revista de Saúde Pública, October 2021
DOI 10.11606/s1518-8787.2021055003970
Pubmed ID
Authors

José Olimpio Moura de Albuquerque, Gabriela Akemi Kamioka, Geraldine Madalosso, Selma Anequini Costa, Paula Bisordi Ferreira, Francisco Alberto Pino, Ana Paula Sayuri Sato, Ana Carolina Aguiar de Carvalho, Ana Beatriz Pagliaro Amorim, Caroline Cotrim Aires, Ana Paula Arruda Geraldes Kataoka, Elisa San Martin Mouriz Savani, Thirsa Alvares Franco Bessa, Breno Souza de Aguiar, Marcelo Antunes Failla, Edson Aparecido dos Santos, Edjane Maria Torreão Brito, Maria Cristina Honório dos Santos, Solange Maria Saboia e Silva, Luiz Artur Vieira Caldeira, Luiz Carlos Zamarco, Sandra Maria Sabino Fonseca, Marcia Maria de Cerqueira Lima, Ivanilda Argenau Marques, Fabiana Érica Vilanova da Silva, Paula Regina Glasser, Patrícia Carla Piragibe Ramos Burihan, Cinthya Luzia Cavazzana, Debora Silva de Mello, Alessandra Cristina Guedes Pellini, Fernando Yoshiki Nishio, Fernanda Miyashiro Kian, Elza de Santana Braga, Nilza Maria Piassi Bertelli, Wagner Fracini, Marcelo Dell Áquila Gonçalves, Paulete Secco Zular, Regiane de Santana Piva, Eduardo Masi

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

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 %
Researcher 2 17%
Student > Ph. D. Student 1 8%
Student > Doctoral Student 1 8%
Student > Master 1 8%
Other 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Computer Science 1 8%
Social Sciences 1 8%
Nursing and Health Professions 1 8%
Unknown 7 58%