1,721,310 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

    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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    Abstract 1576: UGT2B17 promotes castration-resistant prostate cancer progression through enhancing ligand-independent AR signaling

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    Abstract Background: Castration resistant prostate cancer (CRPC) is characterized by a shift of androgen receptor (AR) signaling from ligand-dependent to ligand-independent. Defining mechanisms that control AR signaling transformation is important to develop therapies for disease control. UDP-glucuronosyltransferase 2B17 (UGT2B17) is a key enzyme that maintains androgen homeostasis by catabolizing AR agonists into inactive forms. Although enhanced UGT2B17 expression by antiandrogens was reported in androgen-independent prostate cancers, its role in regulating AR signaling transformation and CRPC progression remain unknown. Method and Results: We first evaluated the UGT2B17 protein expression levels by immunohistochemistry (IHC) on Vancouver Prostate Centre tissue microarrays. We show that higher UGT2B17 protein expression in prostate tumors is associated with higher Gleason score, metastasis and CRPC progression. The expression and activity of UGT2B17 are also higher in androgen-independent compared to androgen-dependent cell lines. Interestingly, enzalutamide-resistant MR49F cells expresses low UGT2B17 mRNA but strong protein expression, suggesting that posttranslational mechanisms may enhance UGT2B17 protein stability in these cells. We then constructed PCa cell lines with gain-of-function UGT2B17 by lentivirus. Functional analyses indicate that UGT2B17 stimulates cancer cell proliferation, invasion, and xenograft progression to CRPC after prolonged androgen deprivation. To further decipher the molecular mechanisms by which UGT2B17 enhance PCa cell growth independent of androgen, we performed gene microarray using LNCaP(mock) and LNCaP(UGT2B17) cells cultured under the regular serum condition or the prolonged androgen deprivation condition. Microarray analyses reveal that UGT2B17 suppresses androgen-dependent AR transcriptional activity, while enhancing androgen (ligand)-independent AR transcriptional activity. The latter targets genes associated with cell mitosis. These UGT2B17 actions in reprogramming androgen signaling are mainly mediated by activating the c-Src kinase. We confirmed that, in CRPC tumors, UGT2B17 expression is positively associated with c-Src activation. Conclusion: These results indicate that UGT2B17 expedites CRPC progression by enhancing ligand-independent AR signaling that activates predominantly cell mitosis in cancer cells. Citation Format: Haolong Li, Ning Xie, Ruiqi Chen, Mélanie Verreault, Ladan Fazli, Martin E. Gleave, Olivier Barbier, Xuesen Dong. UGT2B17 promotes castration-resistant prostate cancer progression through enhancing ligand-independent AR signaling [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1576. doi:10.1158/1538-7445.AM2017-1576</jats:p

    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
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