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    'Autoantibody dominance' pattern following idiotypic manipulation of naive mice by immunization with different epitope specific anti-U1RNP antibodies

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    Antibodies directed against the ribonucleoprotein complex (anti-U1RNP antibodies) are considered characteristic of mixed connective tissue disease (MCTD). Anti-U1RNP recognizes three main epitopes: 70 Kd, A (34 Kd) and C (22 Kd) proteins. Similar to other autoimmune diseases, it is currently unknown whether anti-U1RNP autoantibodies are by themselves pathogenic. The original aim of the present study was to induce in mice both a clinical syndrome resembling MCTD in humans and substantiate its pathogenic role by demonstrating the appearance in the mice sera, or murine anti-U1RNP autoantibodies. This hypothesis was formulated on the basis of previous studies conducted in other laboratories and ours, in which active immunization of BALB/c mice with different autoantibodies resulted in production of respective murine autoantibodies, and corresponding clinical manifestations. Three groups of BALB/c mice were immunized intradermally in the hind footpads with anti-U1RNP-IgG preparations obtained from three different patients withMCTD. Group 1 was immunized with human IgG#5 (U1-70Kd-A - positive), group 2 with IgG#9 (U1-70Kd - negative), U1-A, U1-C, B-B' - positive) and group 3 with IgG#4 (U1-70Kd, U1-A, U1-C - positive). Immunoblot assay showed that mice immunized with different human anti-UIRNP antibodies developed predominantly autoantibodies directed against U1 68-70 Kepitope. This pattern of antibody production has been designated by us as 'autoantibody dominance' and was not associated with respective clinical findings. This study suggests that idiotypic manipulation by active immunization of mice with different epitope specific human anti-U1RNP antibodies result in restricted production of murine epitope specific 68 -70 Kd autoantibodies

    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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