1,720,988 research outputs found
A Narrative Review on Pharmacogenomics in Psychiatry: Scientific Definitions, Principles, and Practical Resources
No full textPurpose/background: Pharmacogenetics (PGx) studies the genetic factors underlying interindividual variability in drug response. Only a few countries around the world are already using PGx testing in psychiatric clinical practice, whereas others are still far from adopting it. The main barrier to the clinical adoption of PGx testing seems to be the limited knowledge among psychiatrists regarding the clinical relevance of specific genetic variants to personalize therapies and the accessibility of PGx data. This review aims at further highlighting the importance of PGx-driven clinical decision making for psychotropic medications and raising psychiatrists' awareness of the value of PGx testing in psychiatry. Methods/procedures: We summarize the genes for which substantial evidence exists about the clinical utility of integrating their PGx testing in psychiatry. Specifically, we systematically describe the functional role of clinically relevant allelic variants, their frequency across different ethnic groups, and how they contribute to classify patients in relation to their capability in metabolizing psychotropic drugs. Findings/results: Briefly, clinical guidelines recommend considering PGx testing of the cytochrome class 2 C9 (CYP2C9), C19 (CYP2C19), and D6 (CYP2D6) genes and the human leukocyte antigen (HLA)-A and -B genes for several psychotropic drugs. Implications/conclusions: Extensive studies have been carried out to provide a solid rationale for the inclusion of PGx testing in psychiatry. Comprehensive clinical guidelines are readily accessible to support health care providers in tailoring the prescription of psychotropic drugs based on patient's genotype information. This approach presents a tangible opportunity to significantly improve individual responses to psychiatric medications
G/G genotype of COMT rs4680 links altruism to traumatic life experiences in people dedicated to volunteering
No full text
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
Interpreting the gene expression microarray results: a user-based experience.
No full textIn recent years many tools have been developed to cope with the interpretation of gene expression results from microarray experiments. The effectiveness of these tools largely depends on their ease of use by biomedical researchers. Tools based on effective computational methods, indeed, cannot be fully exploited by users if they are not supported by an intuitive interface, a large set of utilities and effective outputs.
In this paper, ten tools for the interpretation of gene expression microarray results have been tested on eleven microarray datasets and evaluated according to eight assessment criteria: 1. interface design and usability, 2. easiness of input submission, 3. effectiveness of output representation, 4. efficacy of the downloaded outputs, 5. possibility to submit multiple gene IDs, 6. sources of information, 7. provision of different statistical tests and 8. supply of multiple test correction methods. Strengths and weaknesses of each tool are highlighted: a. to provide useful tips to users dealing with the biological interpretation of microarray results; b. to draw the attention of software developers on the usability of their tools
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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