1,720,979 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

    Differentiation, proliferation and apoptosis levels in human leiomyoma and leiomyosarcoma RID F-4712-2011

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    A comparative analysis of the differentiation pattern, the proliferative behaviour, and the level of apoptosis between human benign and malignant neoplasms of smooth-muscle (SM) tissue is lacking. The clinical, histopathological, immunochemical, and immunocytochemical features of leiomyomas (LM) and leiomyosarcomas (LMS) were investigated by a panel of monoclonal antibodies specific for some differentiation markers of SM tissue (SM myosin and alpha-actin, desmin, and SM22) and for markers of non-muscle tissue (vimentin and non-muscle myosin). Proliferating normal and neoplastic cells were identified by proliferating-cell nuclear antigen (PCNA)/Ki67 immunostainings and the apoptotic cells were revealed by means of the terminal-deoxynucleotidyltransferase-mediated dUTP nick-end labelling technique. Gel electrophoresis and Western blotting, performed with anti-(SM1/SM2 myosin isoform) antibody, indicated quantitative differences between LMS and LM, which mirrored higher positive to negative nuclear ratios for PCNA, Ki67 and apoptosis in malignant as opposed to benign neoplasms. With LM, however, a similar SM1 to SM2 ratio could be associated with different proliferation levels. Uterine, gastric and intestinal LMS displayed specific patterns of SM1/SM2 and/or non-muscle myosin expression that were not paralleled by different levels of proliferation/apoptosis. While the level of PCNA/Ki67 correlated with the level of apoptosis in normal SM tissues and LM, that of LMS did not. In vivo at the cellular level, LM and uterine LMS displayed a near-uniform SM tissue differentiation, whereas the other LMS displayed a lesser or a heterogeneous immunoreactivity. In vitro, cultured LMS cells showed a limited and peculiar expression of SM myosin. In conclusion, there is no reciprocal relationship between degree of differentiation and the level of proliferation, as exemplified by the finding that the less differentiated intestinal LMS displays the lowest proliferative behaviour and that the relatively more differentiated gastric LMS/metastasis is more proliferative

    Osteogenesis Imperfecta: A Heterogeneous Heritable Disease

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    Bone is a dynamic organ, able to replace old or disrupted tissue through a remodelling process. It contains a relatively small number of cells (osteoblasts, osteocytes, osteoclasts and Mesenchymal Stem Cells (MSCs)) entrenched in a matrix. Perturbation or disruption of the complex molecular pathways controlling MSC proliferation and osteogenic commitment may be determined by mutations affecting key genes in bone development. Osteogenesis Imperfecta (OI) also known as brittle bone disease is a genetic pathology in which bones do not form properly and therefore are fragile and break easily. OI is a heterogeneous congenital heritable disease that mainly affects connective tissues. Nowadays we number 18 types of OI, characterized by various modes of inheritance: autosomal dominant, recessive and X-linked

    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
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