1,721,249 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

    Expanding the role of Src and protein-tyrosine phosphatases balance in modulating osteoblast metabolism: Lessons from mice

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    The widespread nature of protein phosphorylation/dephosphorylation underscores its key role in cell signaling metabolism, growth and differentiation. Tyrosine phosphorylation of cytoplasmic proteins is a critical event in the regulation of intracellular signaling pathways activated by external stimuli. An adequate balance in protein phosphorylation is a major factor in the regulation of osteoclast and osteoblast activities involved in bone metabolism. However, although phosphorylation is widely recognized as an important regulatory pathway in skeletal development and maintenance, the mechanisms involved are not fully understood. Among the putative protein-tyrosine kinases (ptk) and protein-tyrosine phosphatases (ptp) involved in this phenomenon there is increasing evidence that Src and low molecular weight-ptps play a central role in a range of osteoblast activities, from adhesion to differentiation. A role for Src in bone metabolism was first demonstrated in Src-deficient mice and has since been confirmed using low molecular weight Src inhibitors in animal models of osteoporosis. Several studies have shown that Src is important for cellular proliferation, adhesion and motility. In contrast, few studies have assessed the importance of the ptk/ptp balance in driving osteoblast metabolism. In this review, we summarize our current knowledge of the functional importance of the ptk/ptp balance in osteoblast metabolism, and highlight directions for future research that should improve our understanding of these critical signaling molecules. (C) 2010 Elsevier Masson SAS. All rights reserved

    Detection of Important States through an Iterative Q-value Algorithm for Explainable Reinforcement Learning

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    To generate safe and trustworthy Reinforcement Learning agents, it is fundamental to recognize meaningful states where a particular action should be performed. Thus, it is possible to produce more accurate explanations of the behaviour of the trained agent and simultaneously reduce the risk of committing a fatal error. In this study, we improve existing metrics using Q-values to detect essential states in Reinforcement Learning by introducing a scaled iterated algorithm called IQVA. The key observation of our approach is that a state is important not only if the action has a high impact but also if it often appears in different episodes. We compared our approach with the two baseline measures and a newly introduced value in grid-world environments to demonstrate its efficacy. In this way, we show how the proposed methodology can highlight only the meaningful states for that particular agent instead of emphasizing the importance of states that are rarely visited

    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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