↓ Skip to main content

Presentation of pulmonary infection on CT in COVID-19: initial experience in Brazil

Overview of attention for article published in Jornal de Pneumologia, January 2020
Altmetric Badge

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
208 Mendeley
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.
Title
Presentation of pulmonary infection on CT in COVID-19: initial experience in Brazil
Published in
Jornal de Pneumologia, January 2020
DOI 10.36416/1806-3756/e20200121
Pubmed ID
Authors

Rodrigo Caruso Chate, Eduardo Kaiser Ururahy Nunes Fonseca, Rodrigo Bastos Duarte Passos, Gustavo Borges da Silva Teles, Hamilton Shoji, Gilberto Szarf

Abstract

The disease caused by the new coronavirus (SARS-CoV-2), designated COVID-19, emerged in late 2019 in China, in the city of Wuhan (Hubei province), and showed exponential growth in that country. It subsequently spread to all continents, and infection with SARS-CoV-2 is now classified as a pandemic. Given the magnitude achieved, scientific interest in COVID-19 has also grown in the international literature, including its manifestations on imaging studies, particularly on CT. To date, no case series have been published in Brazil. Therefore, our objective was to describe the CT findings in an initial series of 12 patients.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 208 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 13%
Researcher 25 12%
Other 15 7%
Student > Master 15 7%
Student > Postgraduate 11 5%
Other 47 23%
Unknown 67 32%
Readers by discipline Count As %
Medicine and Dentistry 64 31%
Nursing and Health Professions 14 7%
Computer Science 7 3%
Pharmacology, Toxicology and Pharmaceutical Science 7 3%
Biochemistry, Genetics and Molecular Biology 5 2%
Other 35 17%
Unknown 76 37%