1,721,079 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Dropout from trauma-focused treatment for PTSD in a naturalistic setting
Full text linkBackground Although evidence-based interventions for posttraumatic stress disorder (PTSD) are highly effective, on average about 20% of patients drop out of treatment. Despite considerable research investigating PTSD treatment dropout in randomized controlled trials (RCTs), findings in naturalistic settings remain sparse. Objective Therefore, the present study investigated the frequency and predictors of dropout in trauma-focused interventions for PTSD in routine clinical care. Method The sample included n = 195 adults with diagnosed PTSD, receiving trauma-focused, cognitive behavioral therapy in routine clinical care in three outpatient centers. We conducted a multiple logistic regression analysis with the following candidate predictors of dropout: patient variables (e.g., basic sociodemographic status and specific clinical variables) as well as therapist’s experience level and gender match between therapist and patient. Results Results showed a dropout rate of 15.38%. Age (higher dropout probability in younger patients) and living situation (living with parents predicted lower dropout probability compared to living alone) were significant predictors of dropout. Dropout was not significantly associated with the therapist’s experience level and gender match. Conclusions In conclusion, routinely assessed baseline patient variables are associated with dropout. Ultimately, this may help to identify patients who need additional attention to keep them in therapy.Highlights About 15% of patients receiving PTSD treatment in routine clinical care dropped out. This rate is lower than found in previous studies. Age and living situation were the only variables related to dropout.Background Although evidence-based interventions for posttraumatic stress disorder (PTSD) are highly effective, on average about 20% of patients drop out of treatment. Despite considerable research investigating PTSD treatment dropout in randomized controlled trials (RCTs), findings in naturalistic settings remain sparse. Objective Therefore, the present study investigated the frequency and predictors of dropout in trauma-focused interventions for PTSD in routine clinical care. Method The sample included n = 195 adults with diagnosed PTSD, receiving trauma-focused, cognitive behavioral therapy in routine clinical care in three outpatient centers. We conducted a multiple logistic regression analysis with the following candidate predictors of dropout: patient variables (e.g., basic sociodemographic status and specific clinical variables) as well as therapist’s experience level and gender match between therapist and patient. Results Results showed a dropout rate of 15.38%. Age (higher dropout probability in younger patients) and living situation (living with parents predicted lower dropout probability compared to living alone) were significant predictors of dropout. Dropout was not significantly associated with the therapist’s experience level and gender match. Conclusions In conclusion, routinely assessed baseline patient variables are associated with dropout. Ultimately, this may help to identify patients who need additional attention to keep them in therapy.Highlights About 15% of patients receiving PTSD treatment in routine clinical care dropped out. This rate is lower than found in previous studies. Age and living situation were the only variables related to dropout
Information processing
No full textCognitive models imply that emotional disorders critically depend on the existence of maladaptive cognitive structures in memory. These so-called schemas are assumed to automatically influence all stages of individuals' information processing. The basic assumption of the information-processing models of anxiety disorders (ADs) is that these information processing biases are not merely symptoms but play a vital role in the maintenance and causation of ADs. Attentional bias (AB), interpretation bias (IB), and covariation bias (CB) are discussed. This chapter evaluates the relatively reflexive as well as the more reflective cognitive biases that are assumed to be involved in ADs, with an emphasis on the mechanisms underlying these biases and their implications in terms of the persistence, recurrence, and development of anxiety symptoms. Finally, the chapter discusses major findings in terms of a multiprocess model of AD with specific attention to potential clinical implications and important lacunae that call for future research
The relationship between self-traumatized and self-vulnerable automatic associations and posttraumatic stress symptoms among adults who have experienced a distressing life event
Full text linkConvergent evidence supports a crucial role for dysfunctional appraisals in the development and maintenance of post-traumatic stress disorder (PTSD). However, most research in this area has used self-report measures, assessing only explicit forms of such negative cognitions; the relevance of their more automatically-activated counterparts, as assumed by cognitive models, remains relatively unexplored. The current study aimed to further our understanding of the potential utility of measuring automatic dysfunctional associations in the context of posttraumatic stress. The relationship between scores on two different implicit association tests (IATs) and posttraumatic stress symptoms was investigated in a sample of adults (N = 279) who reported having experienced a potentially traumatic negative life event. Participants completed the two IATs (one assessing self-traumatized associations, the other self-vulnerable associations), a self-report measure of dysfunctional appraisals, and measures of posttraumatic stress symptoms and other aspects of psychopathology online. Scores indicating higher levels of dysfunctional associations on both IATs were associated with higher levels of posttraumatic stress symptoms. Only scores on the IAT measuring self-vulnerable associations, and not the IAT measuring self-traumatized associations, continued to show an association with posttraumatic stress symptoms after controlling for explicit dysfunctional appraisals. Overall, the results indicate the value of investigating PTSD-relevant automatic associations to further develop our understanding of cognitive processes implicated in posttraumatic stress
Mechanisms of change in trauma-focused treatment for PTSD: The role of rumination
No full textCognitive behavioral therapy (CBT) has been well established in the treatment of posttraumatic stress disorder (PTSD). In recent years, researchers have begun to investigate its underlying mechanisms of change. Dysfunctional cognitive content, i.e. excessively negative appraisals of the trauma or its consequences, has been shown to predict changes in PTSD symptoms over the course of treatment. However, the role of change in cognitive processes, such as trauma-related rumination, needs to be addressed. The present study investigates whether changes in rumination intensity precede and predict changes in symptom severity. We also explored the extent to which symptom severity predicts rumination
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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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