1,720,962 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

    Emotional intelligence and loneliness in eating disorders: a cluster-analytic study across diagnostic categories

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    Objective: The present study aimed to investigate emotional intelligence and loneliness in individuals with eating disorders (EDs) using a transdiagnostic approach. Specifically, it sought to identify emotional-loneliness profiles through cluster analysis and evaluate their association with clinical characteristics and diagnostic categories. Method: A total of 371 participants (220 with EDs and 151 healthy controls) completed self-report measures including the Wong and Law Emotional Intelligence Scale (WLEIS), the UCLA Loneliness Scale, and the Eating Disorder Examination Questionnaire (EDE-Q). K-means cluster analysis was performed on standardized WLEIS and UCLA scores. Between-group comparisons and post hoc tests were conducted to assess differences across clusters in ED severity, BMI, age, and diagnosis. Logistic and chi-square analyses explored diagnostic distribution and predictive associations. Results: Three distinct clusters emerged: (1) Low Emotional Intelligence/High Loneliness (n = 130), (2) Moderate EI/Moderate Loneliness (n = 141), and (3) High EI/Low Loneliness (n = 100). Cluster 1 showed the most adaptive profile, while Cluster 0 exhibited the highest ED severity and loneliness. Diagnostic category distribution differed significantly across clusters (χ2(8) = 89.56, p <.001), but emotional profiles did not align exclusively with specific diagnoses, supporting a transdiagnostic model. Emotional intelligence and loneliness significantly predicted ED status. Conclusion: Emotional intelligence and loneliness form meaningful psychological profiles that transcend ED diagnoses and are associated with clinical severity. Assessing these factors may enhance early detection and inform targeted interventions. Future studies should explore the role of early adversity and trauma in shaping these profiles

    Bridging trauma and eating disorders: the role of loneliness

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    Introduction: Eating disorders (EDs) are complex and often linked to traumatic childhood experiences. While childhood trauma is known to increase the risk of EDs, the role of loneliness remains underexplored. This study investigates whether loneliness mediates the relationship between childhood trauma and ED symptoms. Methods: A total of 230 individuals with EDs completed the Childhood Trauma Questionnaire, the UCLA Loneliness Scale, and the Eating Disorders Examination Questionnaire. Mediation analysis was conducted to assess if loneliness mediates the relationship between childhood trauma and ED severity. Results: Childhood trauma significantly predicted higher levels of loneliness (p < 0.001), which was associated with more severe ED symptoms (p = 0.001), with age and BMI as covariates. Mediation analysis showed loneliness partially mediated the relationship between childhood trauma and ED severity (indirect effect b = 0.003, 95%CI [0.001, 0.006]). Conclusion: Loneliness partially mediates childhood trauma and ED symptoms, highlighting the need to address loneliness in treatment to mitigate the impact of childhood trauma on ED severity. These findings suggest the possible role of social connection-focused interventions in ED care and contribute to understanding the mechanisms underlying the development of EDs. Future research should explore additional mediators and moderators to provide a more comprehensive perspective

    Connections between eating psychopathology, loneliness, and quality of life: insights from a multi-center study

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    Background Eating disorders (ED) involve dysfunctional attitudes towards food intake, affecting physical and psychosocial well-being. These disorders significantly impact various domains of life and can lead to a decrease in health-related quality of life (HRQoL). Recent studies emphasize the importance of addressing HRQoL in ED treatment, particularly in the context of social isolation and loneliness, but this aspect is currently poorly evaluated.Methods A sample of 220 people with an ED was enrolled for the study from different centers specialized in the treatment of ED and compared to 151 people from the general population. Different validated questionnaires were used to evaluate eating psychopathology, HRQoL, and loneliness. Partial correlation analyzes adjusted for marital status and regressions were used to evaluate the relationships between constructs and the differences between groups.Results Higher feelings of loneliness were associated with a poorer HRQoL in patients and controls. In the ED group, both loneliness and eating psychopathology were significant predictors of HRQoL. Meanwhile, the duration of the disorder predicted HRQoL specifically in underweight patients, and BMI was a predictor of HRQoL in individuals with normal or above-normal weight.Conclusions These findings highlight the importance of considering both HRQoL and loneliness in EDs, particularly among younger individuals. This approach aligns with the increasing focus on the role of interpersonal relationships in the recovery process. Additionally, the data confirm a link between weight and loneliness, suggesting that this connection, especially the differences between underweight patients and those of other weights, deserves further investigation

    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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