The COVID-19 pandemic is creating a global health emergency. Mapping this health emergency in scientific publications demands multiple approaches to obtain a picture as complete as possible. To progress in the knowledge of this pandemic and to control its effects, international collaborations between researchers are essentials, as well as having open and immediate access to scientific publications, what we called "coopetition". Our main objectives are to identify the most productive countries in coronavirus publications, to analyse the international scientific collaboration on this topic, and to study the proportion and typology of open accessibility to these publications. We have analyzed 18,875 articles indexed in Web of Science. We performed the descriptive statistical analysis in order to explore the performance of the more prolific countries and organizations, as well as paying attention to the last 2 years. Registers have been analyzed separately via the VOSviewer software, drawing a network of links among countries and organizations to identify the starred countries and organizations, and the strongest links of the net. We have explored the capacity of researchers to generate scientific knowledge about a health crisis emergency, and their global capacity to collaborate among them in a global emergency. We consider that science is moving rapidly to find solutions to international health problems but access to this knowledge by society is not so quick due to several limitations (open access policies, corporate interests, etc.). We have observed that papers from China in the last 3 months (from January 2020 to March 2020) have a strong impact compared with papers published in years before. The United States and China are the major producers of documents of our sample, followed by all European countries, especially the United Kingdom, Germany, the Netherlands, and France. At the same time, the leading role of Saudi Arabia, Canada or South Korea should be noted, with a significant number of documents submitted but very different dynamics of international collaboration. The proportion of international collaboration is growing in all countries in 2019-2020, which contrasts with the situation of the last two decades. The organizations providing the most documents to the sample are mostly Chinese. The percentage of open access articles on coronavirus for the period 2001-2020 is 59.2% but if we focus in 2020 the figures increase up to 91.4%, due to the commitment of commercial publishers with the emergency. Extended author information available on the last page of the article Keywords Coronavirus • COVID-19 • SARS-CoV-2 • 2019-nCoV • Scientific collaborations • Open access • Bibliometric analysis Introduction: analyzing a pandemic through bibliometric analysis In December 2019, a new type of virus of the family Coronaviridae, currently called SARS-CoV-2 (former 2019-nCoV), was identified as the cause of an outbreak that was later on January 30, 2020 declared a Public Health Emergency of International Concern (PHEIC)...
Resumo As atividades de produção de indicadores quantitativos em ciência, tecnologia e inovação vêm se fortalecendo no país na última década
Gráfico 2-Revistas SciELO selecionadas para as amotras (todas as áreas e Ciências da Vida)-período de 1998-2004. Gráfico 3-Distribuição das 41 revistas citantes das revistas de Ciências da Vida do Portal de Periódicos da Capes, segundo área temática SciELO. Gráfico 4-Histograma das porcentagens de cobertura das janelas de citação utilizada e janela do Fator de Impacto. Gráfico 5-Histograma do Impacto Pós-Portal (IPP) das revistas do Portal de Periódicos da Capes na SciELO. Gráfico 6-País de publicação de revistas indexadas no JCR 2002 (Sci. e Soc. Sci.Ed.). Gráfico 7-País de publicação de revistas citadas em SciELO (1992-2004). Gráfico 8-Citações de 2000-2004 às revistas SciELO e amostra (na SciELO e no ISI). Gráfico 9-Citações de 2000-2004 (sem autocitações) às revistas SciELO e amostra (na SciELO e no ISI). Gráfico 10-Citações (totais e sem autocitações) de 2000-2004 às revistas da amostra (na SciELO e no ISI). Gráfico 11-Citações de 2000-2004 (sem autocitações) aos três grupos de revistas da amostra (na SciELO e no ISI). Gráfico 12-Logaritmo das citações 2000-2004 (sem autocitações) aos três grupos de revistas da amostra (em SciELO e ISI). Gráfico 13-Análise Fatorial do impacto (SciELO e ISI) das 39 revistas de Ciências da Vida-ano de 2004. Gráfico 14-Média dos indicadores dos clusters das 39 revistas de Ciências da Vida-ano de 2004. Gráfico 15-Análise Fatorial do impacto (SciELO e ISI) e uso (SciELO) das 42 revistas de todas as áreas-período 2001-2004. LISTA DE ANEXOS Anexo 1-Mensagem explicativa do processo de identificação de citações nas bases do ISI a títulos de revistas não indexadas por eles. Anexo 2-Lista dos 140 títulos de revistas citadas no ISI (maioria sciELO): citações no ISI adquiridas pela BIREME.
SciELO (Scientific Electronic Library on Line, www.scielo.bireme.br) is a program aimed at offering a core of Brazilian Scientific Journals in an open access mode at internet. This initiative has been followed by other Latin American, Caribbean and Iberian countries. Along with the development of the open accessed electronic library, a complementary scientometric/bibliometric database has been set up which permit to retrieve citation data of more than 40,000 articles. The robustness that this database has now achieved allows one to make important studies which were not possible before, using only the international Institute for Scientific Information (ISI) database.
Brazilian science has increased fast during the last decades. An example is the increasing in the country's share in the world's scientific publication within the main international databases. But what is the actual weight of international publications to the whole Brazilian productivity? In order to respond this question, we have elaborated a new indicator, the International Publication Ratio (IPR). The data source was Lattes Database, a database organized by one of the main Brazilian S&T funding agency, which encompasses publication data from 1997 to 2004 of about 51,000 Brazilian researchers. Influences of distinct parameters, such as sectors, fields, career age and gender, are analyzed. We hope the data presented may help S&T managers and other S&T interests to better understand the complexity under the concept scientific productivity, especially in peripheral countries in science, such as Brazil.
ResumoDiscussão das mudanças ocasionadas pelo desenvolvimento das tecnologias da informação no que diz respeito à visibilidade das publicações científicas e à produção de indicadores de impacto. Trabalha-se inicialmente com as questões relacionadas ao uso dos dados de citação e do Fator de Impacto do ISI-Thomsom Scientific abordandose, em seguida, os recursos disponibilizados pelo Google acadêmico para medir a relevância dos trabalhos científicos. Conclui-se com considerações sobre a importância dos estudos de aplicação dos indicadores bibliométricos e webométricos para análise da produção científica como forma de estabelecer um sistema de avaliação adequado a diversos contextos. Palavras-chave:Recuperação da Informação. Indicadores de Impacto. Web of Science. Google Acadêmico. Forattini (1996) observa criticamente que a competitividade, o impacto e a visibilidade internacional são as características consideradas indispensáveis para que os periódicos alcancem o status de veículo científico nos tempos atuais. As publicações dos países em desenvolvimento sempre tiveram dificuldade para atender a estes critérios, principalmente pela falta de apelo internacional e comercial da produção científica dedicada às questões regionais destas nações. INTRODUÇÃO
Curricula from the Lattes Platform are a vast source of information for the creation and analysis of researchers' social networks. However, due to the large amount of data, the manual filling-in, and the use of semi-structured data, there are several challenges in the use of Lattes as a source of data. This paper presents a database produced from the mining of more than one million Brazilian Lattes curricula. Moreover, it highlights some descriptive characteristics and relationships among these curricula and among the knowledge areas, directions and challenges to the production and analyzes of social networks generated from these data.
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