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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Variations on the Author

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    “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

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We 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

    Dispelling the Myths Behind First-author Citation Counts

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    We 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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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

    Metodologia de pré-processamento textual para extração de informação sobre efeitos de doenças em artigos científicos do domínio biomédico

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    There is a large volume of unstructured information (i.e., in text format) being published in electronic media, in digital libraries particularly. Thus, the human being becomes restricted to an amount of text that is able to process and to assimilate over time. In this dissertation is proposed a methodology for textual preprocessing to extract information about disease effects in the biomedical domain papers, in order to identify relevant information from a text, to structure and to store this information in a database to provide a future discovery of interesting relationships between the extracted information. The methodology consists of four steps: Data Entrance (Step 1), Sentence Classification (Step 2), Identification of Relevant Terms (Step 3) and Terms Management (Step 4). This methodology uses three information extraction approaches from the literature: machine learning approach, dictionary-based approach and rule-based approach. The first one is developed in Step 2, in which a supervised machine learning algorithm is responsible for classify the sentences. The second and third ones are developed in Step 3, in which a dictionary of terms validated by an expert and rules developed through regular expressions were used to identify relevant terms in sentences. The methodology validation was carried out through its instantiation to an area of the biomedical domain, more specifically using papers on Sickle Cell Anemia. Accordingly, two case studies were conducted in both Step 2 and in Step 3. The obtained accuracy in the sentence classification was above of 60% and F-measure for the negative effect class was above of 70%. These values correspond to the results achieved with the Support Vector Machine algorithm along with the use of the Noise Removal filter. The obtained F-measure with the identification of relevant terms was above of 85% for the fictitious extraction (i.e., manual classification performed by the expert) and above of 80% for the actual extraction (i.e., automatic classification performed by the classifier). The F-measure of the classifier above of 70% and F-measure of the actual extraction above 80% show the relevance of the sentence classification in the proposed methodology. Importantly to say that many false positives would be identified in full text papers without the sentence classification step.Financiadora de Estudos e ProjetosExiste um grande volume de informação não estruturada (i.e., em formato textual) sendo publicada cada vez mais em meios eletrônicos, particularmente em bibliotecas digitais. Assim, com o passar do tempo, o ser humano fica cada vez mais restringido a uma limitada quantidade de texto que é capaz de processar e assimilar. No sentido de identificar as informações relevantes de um texto e com o objetivo de estruturar e armazenar essas informações em um banco de dados, a fim de propiciar uma futura descoberta de relacionamentos interessantes entre as informações extraídas, nesta dissertação é proposta uma metodologia de pré-processamento textual para extração de informação sobre efeitos de doenças em artigos científicos do domínio biomédico. A metodologia é composta por quatro etapas: Entrada de Dados (Etapa 1), Classificação de Sentenças (Etapa 2), Identificação de Termos Relevantes (Etapa 3) e Gerenciamento de Termos (Etapa 4). Esta metodologia utiliza três abordagens de extração de informação encontradas na literatura: abordagem baseada em aprendizado de máquina, abordagem baseada em dicionário e abordagem baseada em regras. A primeira abordagem é desenvolvida na Etapa 2, na qual um algoritmo de aprendizado de máquina supervisionado é responsável em classificar as sentenças. A segunda e a terceira abordagens são desenvolvidas na Etapa 3, na qual um dicionário de termos validados pelo especialista e regras desenvolvidas por meio de expressões regulares foram utilizados para identificar termos relevantes nas sentenças. A validação da metodologia foi realizada por meio de sua instanciação para uma área do domínio biomédico, mais especificamente usando artigos sobre a doença Anemia Falciforme. Nesse sentido, dois estudos de caso foram realizados tanto na Etapa 2 quanto na Etapa 3. O valor da acurácia obtida na classificação de sentenças foi acima de 60% e o valor da medida-F para a classe efeito negativo foi acima de 70%. Estes valores correspondem aos resultados alcançados com o algoritmo de aprendizado de máquina Support Vector Machine juntamente com a aplicação do filtro Remoção de Ruído. A medida-F obtida com a identificação de termos relevantes foi acima de 85% para a extração fictícia (i.e., classificação manual realizada pelo especialista) e acima de 80% para a extração real (i.e., classificação automática realizada pelo classificador). O valor de medida-F acima de 70% do classificador e o valor de medida-F acima de 80% da extração real mostra a relevância da classificação de sentenças na metodologia proposta. É importante ressaltar que sem a classificação de sentença, muitos falsos positivos seriam identificados nos artigos completos

    Author Under Sail The Imagination of Jack London, 1893-1902

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    In Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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