1,720,958 research outputs found
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
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Designing a Mobile App for Individuals Recovering from an Opioid Addiction
Opioid use disorder is a growing issue and is associated with an increased risk of fatal overdose. A
mobile application built upon user interviews and the evidence-based Community Reinforcement
Model has the potential to decrease fatal overdoses and improve the recovery process. We conducted
semi-structured interviews at a local methadone clinic to determine the user journey and technological
opportunities. Based on existing models for substance abuse treatment and results of user interviews,
we designed a mobile health application. This poster presents the journey of individuals recovering
from an opioid addiction and main features of the mobile health application. The application is
intended to be used in conjunction with local methadone clinics and health professionals. Further
testing must be conducted to determine usability of current design.Informatio
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
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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User-centered design of nutri, a novel goal setting clinical decision support technology to improve the equity of data-driven dietary behavior change interventions in primary care
Interventions for dietary management of chronic disease increasingly leverage smartphone applications with the promise that data-driven personalization will improve effectiveness. However, since these interventions require users to collect, synthesize, and interpret data, users with more resources are more likely to benefit, thereby exacerbating existing health disparities. Multilevel interventions that distribute responsibility for dietary behavior change between patients and providers may improve equity; however, primary care providers (PCPs) lack time and training to elicit, synthesize, and interpret diet data. We hypothesize these limitations can be overcome with clinical decision support (CDS) technology that captures and synthesizes patient diet data into knowledge for PCPs to engage patients in collaborative diet goal setting, an effective behavior change technique.
The aim of this study is to identify system requirements that would motivate providers to use a collaborative diet goal setting CDS and evaluate implementation design choices with the CDS prototype.
We performed a 2-phase qualitative study with English and Spanish-speaking adult patients and PCPs from a federally qualified health center and an academic clinic in 30 to 60-minute semi-structured generative and usability interviews. We used an iterative design process involving user-experience designers, software engineers, and providers to develop the final CDS prototype.
Using inductive thematic analysis, eight PCP and patient themes emerged. From PCP interviews we identified that: (1) Time constraints and patient characteristics influence if PCPs use personalized or generic goal setting, (2) Subjective and non-standardized processes guide personalized goal setting, (3) PCPs regard patient-generated data as an inaccurate and non-holistic representation of the patient’s diet, (4) Current clinical workflows make diet goal setting and monitoring cumbersome. For patients we found that: (1) PCP is seen as an authority figure, (2) Listening and dialog are facilitators for shared decision-making, (3) patients regard diet data as a source of truth, and (4) Goal achievement is distinct from goal setting. These themes, along with refinements identified in usability interviews, guided the iterative design of “Nutri,” a workflow-compatible CDS that synthesizes patient diet data from 24-hour recalls via a series of computational rules and presents diet goals for PCPs to discuss with patients through collaborative goal setting.
The results from this study demonstrate the potential of a data-driven CDS for collaborative diet goal setting in primary care. The 2-phase user-centered iterative design process we used to design Nutri demonstrates how usability interviews can refine the operationalization of insights generated from traditional qualitative approaches. Follow-up studies will test Nutri in a clinic setting.Nutritional Science
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Conducting eye tracking studies in interactive information retrieval
This report seeks to contextualize the field of Interactive Information Retrieval (IIR) in the broader context of Information Retrieval (IR), and the psychological aspects of the human visual system. In this report, I present to the readers a concise background of the fields of IIR, and IR, and experiment design in eye tracking research. After the background and literature review on IIR, I provide the readers a brief tour of the concepts behind eye tracking technology. Finally, I describe the stimulus presentation and control software called EventIDE, which offers numerous capabilities for conducting behavioral research. In particular, I focus on eye tracking, and continuing with the theme of deploying eye tracking to conduct IIR research take the readers through a sample experiment in EventIDE. At the end I analyze specific outcomes of the sample experiment to demonstrate how eye tracking can be used to collect data about users’ interaction with the layout and presentation of information on modern digital interfaces.Informatio
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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