1,720,970 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

    INFORMATION AND SUPPORT NEEDS OF WOMEN WITH PRIMARY RELATIVES WITH BREAST CANCER

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    Purpose: The research was conducted in two stages; the first stage was carried out methodologically to assess the validity and reliability of the Information and Support Needs Questionnaire developed by Chalmers and Thomson (1996). Second stage was conducted descriptively to determine the information and support needs. Patients and Methods: The validity and reliability of the scale an interview was conducted with the first-degree relatives of individuals with breast cancer who referred to Breast and Radiation Oncology Department of Ege University (n= 100) in 10 June 2005-15 Feb. 2006. The second stage of the research was carried out at same departments between the dates of 01 March - 15 May 2006 (n= 150). Results: The Kendall Compatibility Coefficient of the scale was found as W: 0.244 and p<0.01. Test-retest reliability coefficient information and support needs and between the first and second applications were found as r=0.99. It was established that the consistency of scale at temporal stage was at a sufficient level. Cronbach alpha coefficient information need was found 0.87 and support need 0.91; they were found 0.85 and 0.90 respectively. The reliability of the scale was found high (0.80< alpha< 1.00). As a result of application of the scale which its validity and reliability were determined in the first section the mean scores especially of information needs of the women who has a firstdegree with cancer were found high (X = 1.98 +/- 0.97 for support need and X = 3.46 +/- 0.29 for information need). Conclusion: Women's information need was found higher than their support need.Scientific Research Directorate Ege UniversityThis study supports the Scientific Research Directorate Ege University we thank

    Dietary Patterns Affecting Prostate Cancer: Medical Education

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    Prostate cancer is the most common male cancer. Studies show that prostate cancer is a preventable disease. The current studies suggest the role of dietary patterns in the prevention of prostate cancer. There are many epidemiological, clinical, case-control, prospective studies about dietary patterns and prostate cancer. These studies indicate that saturated fats, trans fatty acids, omega-6 fatty acids, meat, whole milk and dairy products, and calcium increase prostate cancer risk, whereas omega-9 fatty acids, omega-3 fatty acids, fruit and vegetables, lycopene, selenium, vitamin E, D, soy, pomegranate and green tea decrease the risk. Consumption of meat, trans fatty acids (margarine, fried foods), whole dairy products (whole milk, cheese, yogurt, or others) should be reduced and high calcium intake should be avoided to reduce prostate cancer risk. On the other hand, consumption of vegetables (such as broccoli, cauliflower, cabbage, kale, Brussels sprouts, and radish), lycopene containing foods (tomato and products), adequate amount of selenium (seafood, grains), vitamin E (vegetable oils, wheat germ, nuts, soybeans, sweet potatoes, and avocado), green tea, soy (soybeans, tofu, soy cheese, soy milk), and pomegranate juice is highly recommended. This study summarizes the association of food and increased/decreased dietary risk factors for prostate cancer and gives recommendations based on these associations

    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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