1,721,040 research outputs found
Prospects for the classification of mental disorders in women
Full text linkMany mental disorders show marked gender differences as regards prevalence, symptomatology, risk factors or course. Other disorders do per definition only occur in women - e.g. premenstrual dysphoric disorder (PMDD) - or are markedly influenced by female specific factors such as hormonal changes over the life cycle or during reproductive processes. Current classification systems have tried to take into account these gender aspects, but some problems will certainly have to be discussed again with the next revisions of the ICD and DSM. As regards gender differences in prevalence and symptomatology questions of gender bias in diagnostic instruments and diagnostic criteria will have to be readdressed. New findings from unselected epidemiological samples, which were analysed by gender, will have to be taken into account as well as new findings from research into gender specific personality traits, which can influence the symptomatology of mental disorders. Decisions will have to be taken whether to revise existing diagnostic criteria and provide alternative diagnostic thresholds for men and women or even to develop alternative criteria sets in certain disorders, or rather to enhance the gender neutrality of criteria. A further question to be addressed will be that of gender specific diagnoses versus diagnostic specifiers. In the whole discussion two main aims of classification should be given priority: the research aim of identifying genuine entities with a common aetiology, which means we should be able to identify specific diagnostic entities with descriptive, construct, and predictive validity quite independently of the influences of gender; and the clinical aim to improve treatment and care for men and women, which often means to offer gender-specific approaches
State of the art: Working together for early detection of psychosis
No full textIntroductionIn the last decades psychiatry has taken an important and overdue step which other medical disciplines had taken much earlier, i.e. recognizing the chances of early detection and intervention–first in the field of emerging psychosis, in the meantime also in other fields.ObjectivesTo review new developments in the field of early detection of psychosis and to critically discuss the obstacles still depriving many of our patients of an immediate benefit.MethodsReview and discussion.ResultsNew developments are very promising. Identification of individuals at risk and prediction of transition to psychosis is possible with an excellent accuracy, comparable to other preventive approaches in medicine. And there is growing evidence how this accuracy can even be more improved by using not only clinical assessments but also additional domains such as neurocognition, neurophysiology, or MRI, as well as new methods for analyses such as pattern recognition. Staged intervention according to the degree of risk seems feasible.However, there are still many obstacles to a broad implementation of this new know-how into clinical practice such as lack of communication, political will and finances, or fears, stigma and prejudices.ConclusionsFor the benefit of those concerned - patients and their relatives - a great effort to work together is required from all of us: clinicians, researchers from psychiatry and many other fields, industry, politicians, and last, but not least, patients and their relatives.Disclosure of interestThe author has not supplied his declaration of competing interest.</jats:sec
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
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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