1,720,967 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Universidade e inovação científica e tecnológica: um estudo patentométrico na Unesp
No full textThis research aims to quantitatively identify all patents, whether an invention, utility models, trademarks, industrial design and software design within UNESP - Universidade Estadual Paulista, seeking to highlight the most productive researchers, their themes and existing collaborations, both as individual as the institutional framework. From the quantitative data it is sought to describe and analyze the most productive researchers, the partnerships established between them and also the partnerships between the institutions to which they belong. This is appropriate for this research, especially by the needs of knowing and giving visibility to the records of patents at UNESP, considering the lack of such work at the University. As a research procedure, we analyzed the documents provided by UNESP Technology Transfer Office - AUIN, containing a list of patents filed on behalf of UNESP, from 1980 to 2010. They were categorized according to the following types: Patent (PI), utility models (MU), trademarks (TM) and industrial design (ID), all distributed according to the table of areas of Knowledge of CNPq (large area and area): Agricultural Sciences (large area) and Veterinary Medicine (areas), Biological Sciences (large area) and Botany and Microbiology (areas), Exact Sciences and Earth (large area) and Physics, Chemistry, Computer Science, Probability Statistics and Geosciences (areas); Health Sciences (large area) and Pharmacy, Medicine and Dentistry (areas), engineering (large area) and Metallurgical and Materials Engineering and Mechanical Engineering (areas). Stood out the most productive inventors and their respective themes, according to the units and/or college of origin. As search results, considering the total of 114 patent applications, IQ (Institute of Chemistry) at Araraquara had 29 records, the largest number... (Complete abstract click electronic access below)Esta pesquisa objetiva identificar quantitativamente todas as patentes, quer sejam de invenção, modelos de utilidades, marcas, desenho industrial e criação de softwares, no âmbito da Universidade Estadual Paulista (UNESP), procurando destacar os pesquisadores mais produtivos, suas temáticas e colaborações existentes, tanto no âmbito individual como no âmbito institucional. A partir dos dados quantitativos procura-se descrever e analisar os pesquisadores mais produtivos, as parcerias estabelecidas entre eles e as parcerias estabelecidas entre as instituições às quais pertencem. Justifica-se esta pesquisa, especialmente, pela necessidade de se conhecer e dar visibilidade aos registros de patentes no âmbito da UNESP, e, ainda, pela inexistência de trabalhos dessa natureza na referida universidade. Como procedimento de pesquisa, analisou-se o documento fornecido pela Agência UNESP de Inovação–AUIN, contendo a relação das patentes depositadas em nome da UNESP, de 1980 até 2010. Categorizou-se as mesmas segundo as seguintes tipologias: patentes de invenção (PI), modelos de utilidade (MU), marcas e desenho industrial (DI), todas distribuídas de acordo com a tabela de áreas do Conhecimento do CNPq (grande área e área): Ciências Agrárias (grande área) e Medicina Veterinária e Zootecnia (áreas); Ciências Biológicas (grande área) e Botânica e Microbiologia (áreas); Ciências Exatas e da Terra (grande área) e Física, Química, Ciência da Computação, Probabilidade Estatística e Geociências (áreas); Ciências da Saúde (grande área) e Farmácia, Medicina e Odontologia (áreas); Engenharia (grande área) e Engenharia de Materiais e Metalúrgica e Engenharia Mecânica (áreas). Destacou-se os inventores mais produtivos e suas respectivas temáticas, segundo as unidades e/ou faculdades de origem. Como..
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Brazilian’s universities patent internationalization: a impact study using the Derwent data base (2000-2016)
No full textPatente é um direito concedido para uma invenção, quer seja produto ou processo, que fornece, em geral, uma nova maneira de fazer algo ou ainda uma nova solução técnica para um problema. Esta pesquisa objetiva a análise das patentes das universidades brasileiras, separadas por regiões, no período de 2000-2016, o número de patentes depositadas pelas mesmas e seu impacto internacional. Este trabalho descreve e analisa a frente de pesquisa das universidades e inventores, mediante a análise de citações, verificando as instituições mais citadas pelos pesquisadores em âmbito mundial por meio da análise dos citantes. Justifica-se esta pesquisa, especialmente, pela necessidade de verificar a internacionalização da inovação brasileira. Como procedimento de pesquisa, utilizou-se a base de dados Derwent Innovations Index (Web of Science), ou seja, realizou-se as consultas das patentes indexadas, citadas e seus citantes, destacando-se os citantes brasileiros dos citantes internacionais e seus diferentes países de origem, visando avaliar a extensão geográfica do impacto da internacionalização. Realizou-se o levantamento na base do Instituto Nacional de Propriedade Industrial - INPI, para verificar o número de patentes depositadas; a seguir, fez-se o levantamento dos Núcleos de Inovação Tecnológica verificando qual universidade brasileira possuía seu núcleo. Foi construída uma base de dados utilizando o Excel com todas as informações levantadas: universidades brasileiras por regiões, Núcleos de Inovação Tecnológica, licenciamento de patentes, citantes e citações das patentes, inventores mais produtivos e o foco tecnológico. Como resultados, apresenta-se o número de depósitos junto ao INPI por universidade, o número de patentes indexadas, as mais citadas, os citantes e a extensão da internacionalização das patentes brasileiras. Deseja-se que os resultados desta pesquisa revele aspectos mais consistentes e os mais frágeis dentro do contexto científico-nacional. Os dados quantitativos analisados tornarão visíveis as universidades brasileiras, por região, em nível nacional e internacional, o alcance geográfico do impacto da patente citada e ainda a área de interesse que os citantes têm na tecnologia brasileira, consignando maior fundamentação para os estudos patentométricos no Brasil.Patent is a right granted to an invention, either a product or process, that provides a new way of doing something, or yet a new technical solution for a problem. This research has the objective to analyze patents from brazilian’s universities, sorted by region, in the period of 2000-2016, the number of patents deposited by those and their international impact. This work describes and analyze the universities’ research forefront and inventors through citation analysis, checking the most cited institutions for researches on a global scope by citing analysis. This research is justified by the necessity to verify brazilian’s innovation internationalization. As research procedure was used the Derwent Innovation Index (Web of Science) data base, that is, the cited patents and citers were consulted, sorting brazilian’s citers from international citers and their country of origin, aiming to evaluate the geographical extent of the internationalization impact. It was searched through the Instituto Nacional de Propriedade Industrial - INPI database, aiming to verify the number of patents deposited, followed by a search to pinpoint which university had one Núcleo de Inovação Tecnológica (Technological Innovation Center). A data base was made with all the collected data: universities by region, Núcleos de Inovação Tecnológica (Technological Innovations Centers), patent licensing, citers and cited patents, more productive inventors e the technological focus. As a result, is presented the total number of deposited patents on the Instituto Nacional de Propriedade Industrial - INPI by university, the number of indexed patents, the most cited patents, the citers and the extension of the brazilian’s patent internationalization. The intent is that this research’s results reveal the strongest and weakest aspects of the brazilian scientific context. The quantitative data analyzed will show the brazilians universities cited patent reach on an international level, grounding further patentometric studies in Brazil.Não recebi financiament
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Universidade e inovação científica e tecnológica: um estudo patentométrico na Unesp
No full textThis research aims to quantitatively identify all patents, whether an invention, utility models, trademarks, industrial design and software design within UNESP - Universidade Estadual Paulista, seeking to highlight the most productive researchers, their themes and existing collaborations, both as individual as the institutional framework. From the quantitative data it is sought to describe and analyze the most productive researchers, the partnerships established between them and also the partnerships between the institutions to which they belong. This is appropriate for this research, especially by the needs of knowing and giving visibility to the records of patents at UNESP, considering the lack of such work at the University. As a research procedure, we analyzed the documents provided by UNESP Technology Transfer Office - AUIN, containing a list of patents filed on behalf of UNESP, from 1980 to 2010. They were categorized according to the following types: Patent (PI), utility models (MU), trademarks (TM) and industrial design (ID), all distributed according to the table of areas of Knowledge of CNPq (large area and area): Agricultural Sciences (large area) and Veterinary Medicine (areas), Biological Sciences (large area) and Botany and Microbiology (areas), Exact Sciences and Earth (large area) and Physics, Chemistry, Computer Science, Probability Statistics and Geosciences (areas); Health Sciences (large area) and Pharmacy, Medicine and Dentistry (areas), engineering (large area) and Metallurgical and Materials Engineering and Mechanical Engineering (areas). Stood out the most productive inventors and their respective themes, according to the units and/or college of origin. As search results, considering the total of 114 patent applications, IQ (Institute of Chemistry) at Araraquara had 29 records, the largest number... (Complete abstract click electronic access below)Esta pesquisa objetiva identificar quantitativamente todas as patentes, quer sejam de invenção, modelos de utilidades, marcas, desenho industrial e criação de softwares, no âmbito da Universidade Estadual Paulista (UNESP), procurando destacar os pesquisadores mais produtivos, suas temáticas e colaborações existentes, tanto no âmbito individual como no âmbito institucional. A partir dos dados quantitativos procura-se descrever e analisar os pesquisadores mais produtivos, as parcerias estabelecidas entre eles e as parcerias estabelecidas entre as instituições às quais pertencem. Justifica-se esta pesquisa, especialmente, pela necessidade de se conhecer e dar visibilidade aos registros de patentes no âmbito da UNESP, e, ainda, pela inexistência de trabalhos dessa natureza na referida universidade. Como procedimento de pesquisa, analisou-se o documento fornecido pela Agência UNESP de Inovação–AUIN, contendo a relação das patentes depositadas em nome da UNESP, de 1980 até 2010. Categorizou-se as mesmas segundo as seguintes tipologias: patentes de invenção (PI), modelos de utilidade (MU), marcas e desenho industrial (DI), todas distribuídas de acordo com a tabela de áreas do Conhecimento do CNPq (grande área e área): Ciências Agrárias (grande área) e Medicina Veterinária e Zootecnia (áreas); Ciências Biológicas (grande área) e Botânica e Microbiologia (áreas); Ciências Exatas e da Terra (grande área) e Física, Química, Ciência da Computação, Probabilidade Estatística e Geociências (áreas); Ciências da Saúde (grande área) e Farmácia, Medicina e Odontologia (áreas); Engenharia (grande área) e Engenharia de Materiais e Metalúrgica e Engenharia Mecânica (áreas). Destacou-se os inventores mais produtivos e suas respectivas temáticas, segundo as unidades e/ou faculdades de origem. Como..
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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