1,721,009 research outputs found

    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

    Bodies of Information

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    A wide-ranging, interconnected anthology presents a diversity of feminist contributions to digital humanities In recent years, the digital humanities has been shaken by important debates about inclusivity and scope-but what change will these conversations ultimately bring about? Can the digital humanities complicate the basic assumptions of tech culture, or will this body of scholarship and practices simply reinforce preexisting biases? Bodies of Information addresses this crucial question by assembling a varied group of leading voices, showcasing feminist contributions to a panoply of topics, including ubiquitous computing, game studies, new materialisms, and cultural phenomena like hashtag activism, hacktivism, and campaigns against online misogyny. Taking intersectional feminism as the starting point for doing digital humanities, Bodies of Information is diverse in discipline, identity, location, and method. Helpfully organized around keywords of materiality, values, embodiment, affect, labor, and situatedness, this comprehensive volume is ideal for classrooms. And with its multiplicity of viewpoints and arguments, it's also an important addition to the evolving conversations around one of the fastest growing fields in the academy. Contributors: Babalola Titilola Aiyegbusi, U of Lethbridge; Moya Bailey, Northeastern U; Bridget Blodgett, U of Baltimore; Barbara Bordalejo, KU Leuven; Jason Boyd, Ryerson U; Christina Boyles, Trinity College; Susan Brown, U of Guelph; Lisa Brundage, CUNY; micha cárdenas, U of Washington Bothell; Marcia Chatelain, Georgetown U; Danielle Cole; Beth Coleman, U of Waterloo; T. L. Cowan, U of Toronto; Constance Crompton, U of Ottawa; Amy E. Earhart, Texas A&M; Nickoal Eichmann-Kalwara, U of Colorado Boulder; Julia Flanders, Northeastern U Library; Sandra Gabriele, Concordia U; Brian Getnick; Karen Gregory, U of Edinburgh; Alison Hedley, Ryerson U; Kathryn Holland, MacEwan U; James Howe, Rutgers U; Jeana Jorgensen, Indiana U; Alexandra Juhasz, Brooklyn College, CUNY; Dorothy Kim, Vassar College; Kimberly Knight, U of Texas, Dallas; Lorraine Janzen Kooistra, Ryerson U; Sharon M. Leon, Michigan State; Izetta Autumn Mobley, U of Maryland; Padmini Ray Murray, Srishti Institute of Art, Design, and Technology; Veronica Paredes, U of Illinois; Roopika Risam, Salem State; Bonnie Ruberg, U of California, Irvine; Laila Shereen Sakr (VJ Um Amel), U of California, Santa Barbara; Anastasia Salter, U of Central Florida; Michelle Schwartz, Ryerson U; Emily Sherwood, U of Rochester; Deb Verhoeven, U of Technology, Sydney; Scott B. Weingart, Carnegie Mellon U

    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

    Figure_S1_xyz1122463ebdec2 – Supplemental material for Expression and Characterization of Human Fragile X Mental Retardation Protein Isoforms and Interacting Proteins in Human Cells

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    Supplemental material, Figure_S1_xyz1122463ebdec2 for Expression and Characterization of Human Fragile X Mental Retardation Protein Isoforms and Interacting Proteins in Human Cells by Jiang Zhang, Guangli Wang, Wei-Wu He, Molly Losh, Elizabeth Berry-Kravis and William E Funk in Proteomics Insights</p

    Table_1_xyz112246cbdec90_(1) – Supplemental material for Expression and Characterization of Human Fragile X Mental Retardation Protein Isoforms and Interacting Proteins in Human Cells

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    Supplemental material, Table_1_xyz112246cbdec90_(1) for Expression and Characterization of Human Fragile X Mental Retardation Protein Isoforms and Interacting Proteins in Human Cells by Jiang Zhang, Guangli Wang, Wei-Wu He, Molly Losh, Elizabeth Berry-Kravis and William E Funk in Proteomics Insights</p
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