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Scientometric Analysis of Research Output from Brazil in Response to the Zika Crisis Using e-Lattes

Ricardo Barros Sampaio
Ricardo Barros Sampaio
, 
Antônio de Abreu Batista
Antônio de Abreu Batista
, 
Bruno Santos Ferreira
Bruno Santos Ferreira
, 
Mauricio L. Barreto
Mauricio L. Barreto
 and 
Jesús P. Mena-Chalco
Jesús P. Mena-Chalco
   | Sep 02, 2020
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Article Category: Research Paper
Published Online: Sep 02, 2020
Page range: 137 - 146
Received: Feb 01, 2020
Accepted: Aug 06, 2020
DOI: https://doi.org/10.2478/jdis-2020-0038
Keywords
© 2020 Ricardo Barros Sampaio et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Figure 1

e-Lattes Vision, internally, after handling Lattes CVs of researchers C, A, and B. Each set includes the publications of a researcher. The shaded area indicates the publications co-authored by the three researchers.
e-Lattes Vision, internally, after handling Lattes CVs of researchers C, A, and B. Each set includes the publications of a researcher. The shaded area indicates the publications co-authored by the three researchers.

Figure 2

Researchers’ interest in the topic Zika.
Researchers’ interest in the topic Zika.

Figure 3

Scientific co-authorship between the top 19 most productive Zika researchers between 2015 and 2018. Each dot corresponds to a researcher, and each line the collaboration between them. The larger the dot size, the more the researcher published papers in the period.
Scientific co-authorship between the top 19 most productive Zika researchers between 2015 and 2018. Each dot corresponds to a researcher, and each line the collaboration between them. The larger the dot size, the more the researcher published papers in the period.

Number of Researchers per Area, Subarea and Specialty areas of research.

Great Area#Area#Subarea#Specialty#
Health Sciences822Medicine359Molecular Biology187Virology110
Biological Sciences689Public Health159Public Health186Infections Disease83
Exact and Earth Sciences108Microbiology126Epidemiology181Medical Microbiology33
Human Sciences86Biochemistry101Medical Clinic175Paediatrics29
Applied Social Sciences53Immunology87Biology and Microorganisms122Neurology24
Agricultural Sciences40Genetics85Maternal and child health108Proteins21
Engineering14Nursing51Molecular Genetic92Molecular Biology17
Linguistics, Literature and Arts3Parasitology43Cellular Immunology76Animals Infections Disease15
Physiotherapy37Applied Immunology66Human Protozoology13
Pharmacy36Applied Microbiology64Neurophysiology13

Quantity of publications on Zika between 2015 and 2018 included in the sample.

Publication TypeQuantity
Conferences149
Journal65
Magazines47
Books5

The affiliation of the top 19 most productive Zika researchers.

IDResearcherAffiliation
1Marcio Roberto Teixeira NunesInstituto Evandro Chagas
2Sandro Patroca da SilvaInstituto Evandro Chagas
3Maurício Lacerda NogueiraEscola de Medicina Sao Jose do Rio Preto
4Thiago Moreno Lopes e SouzaFundação Oswaldo Cruz
5Mauro Martins TeixeiraUniversidade Federal de Minas Gerais
6Marli Tenório CordeiroCentro de Pesquisa Aggeu Magalhães
7Ana Maria Bispo de FilippisFundação Oswaldo Cruz
8Amilcar TanuriUniversidade Federal do Rio de Janeiro
9Renato Santana de AguiarUniversidade Federal do Rio de Janeiro
10Patricia Carvalho de SequeiraFundação Oswaldo Cruz
11Edward Araujo JúniorUniversidade Federal de São Paulo
12Melania Maria Ramos de AmorimInst de Medicina Integ Prof. Fernando Figueira
13Giliane de Souza TrindadeUniversidade Federal de Minas Gerais
14Ernesto Torres de Azevedo Marques JrCentro de Pesquisa Aggeu Magalhães
15Flavia Barreto dos SantosFundação Oswaldo Cruz
16Rita Maria Ribeiro NogueiraFundação Oswaldo Cruz
17Marco Antonio Orsini NevesFluminense Federal University
18Erna Geessien KroonUniversidade Federal de Minas Gerais
19Jônatas Santos AbrahãoUniversidade Federal de Minas Gerais
eISSN:
2543-683X
Language:
English
Publication timeframe:
4 times per year
Journal Subjects:
Computer Sciences, Information Technology, Project Management, Databases and Data Mining
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