1,720,977 research outputs found
HIV + sex the psychological and interpersonal dynamics of HIV-seropositive gay and bisexual men's relationships
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Towards a More Inclusive and Dynamic Understanding of Medical Mistrust Informed by Science
Mistrust of medical advances and the medical professions continues to persist, and is perhaps increasing. The popular press has documented the growing number of parents globally whose concerns around childhood vaccination, albeit based on faulty scientific information, has led to the anti-vax movement which has already resulted in outbreaks of measles in various parts of the U.S. In recent years, the AIDS Healthcare Foundation has increased speculation and mistrust with regard to the denialism of the effectiveness of pre-exposure prophylaxis (PrEP) to avert HIV infections, again based on misinformation. However, in other cases, medical mistrust reflects the very real historical and ongoing injustices experienced by socially and economically marginalized groups. Whether the genesis of the mistrust is based on fact or fallacy, the results may be similar. There are myriad negative consequences associated with medical mistrust, including lower utilization of healthcare and poorer management of health conditions. Mistrust is thought to provide a partial explanation for staggering health disparities, particularly among Black and African American people, and much of the public health and medical literature cites the infamous Tuskegee Study as a main catalyst for this persistent health-related mistrust among people of color and other groups who experience social and economic vulnerability. While mistrust is often referred to as a phenomenon existing within an individual or community, we must rethink this conceptualization and instead locate mistrust as a phenomenon created by and existing within a system that creates, sustains and reinforces racism, classism, homophobia and transphobia, and stigma. The purpose of this article is to briefly address the state of the medical mistrust literature, and to provide a summary of the articles included in this special issue on medical mistrust. Although the scholarship in this issue addresses diverse methodologies, outcomes and populations, they share a message: social inequality drives mistrust
Variations on the Author
“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
J Assoc Nurses AIDS Care
Geosocial-networking smartphone applications such as Grindr can help men who have sex with men (MSM) meet sexual partners. Given the high incidence of HIV in the Deep South, the purpose of our study was to assess HIV risk and preexposure prophylaxis (PrEP) awareness and use in a sample of HIV-uninfected, Grindr-using MSM residing in Atlanta, Georgia (n = 84). Most (n = 71; 84.6%) reported being somewhat or very concerned about becoming HIV infected. Most (n = 74; 88.1%) had been tested for HIV in their lifetimes. About three fourths (n = 65; 77.4%) were aware of PrEP, but only 11.9% currently used the medication. HIV continues to disproportionately impact MSM and represents a significant source of concern. As the number of new infections continues to rise, it is important to decrease risks associated with acquisition and transmission of HIV by increasing rates of HIV testing and the use of biobehavioral interventions such as PrEP.P20 GM103476/GM/NIGMS NIH HHSUnited States/R25 MH083620/MH/NIMH NIH HHSUnited States/U01 PS003315/PS/NCHHSTP CDC HHSUnited States
Appropriate Similarity Measures for Author Cocitation Analysis
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
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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