1,720,972 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
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
Enhancing Symptom Monitoring Using Mobile Technology for Children and Adolescents with Life -Threatening Illness
AbstractBackground: Children and adolescents with life-threatening illness such as cancer or undergoing blood and marrow transplantation experience significant symptom distress. Intense debilitating symptoms are the result of the disease and its treatment. Symptoms are under-recognized, under-reported and thus undertreated in children leading to a cycle of ongoing and escalating symptoms placing them at risk for overall poor outcomes and decreased quality of life. Most research to better understand symptom distress in children and adolescents with life-threatening illness has been cross-sectional. Little longitudinal research has been conducted to advance understanding of symptom dynamics (occurrences, clusters, and trajectories). Advanced understanding of symptom dynamics can lead to the development of targeted personalized symptom management strategies. Mobile Health (mHealth) has the potential to revolutionize our understanding of illness and the associated symptom dynamics by providing dense streams of real-time patient generated health data that can be collected when and where it occurs. Having children track and report their symptoms daily not only provides longitudinal patient generated health data, but also gives their “voice” to their symptom experience. Given the prevalence of mHealth technologies and the strong developmental fit for children and adolescents, the patient generated health data they produce are likely to enhance our understanding of symptom dynamics, address knowledge gaps, and importantly inform precision health symptom management strategies. This dissertation work was framed conceptually by the Theory of Unpleasant Symptoms (TUS). The TUS developed by Lenz guides exploration and evaluation of symptom dynamics by examining symptom characteristics (timing, intensity, duration, distress, and quality). Mobile health technology offers a unique opportunity to gather these real-time patient generated data for this purpose. This dissertation’s purpose was to dissertation was to advance understanding of symptom dynamics (occurrences, clusters, and trajectories) in children and adolescents with life-threatening illness through the use of data from mHealth, describe and visualize these symptom data in a meaningful way, and explore patient and parent caregiver perspectives on the use of mHealth technologies to monitor symptom distress. Knowledge gained from this body of work will inform this under-researched area, address gaps in symptom research in children and adolescents, advance knowledge of symptom dynamics and importantly, lead to precision health symptom management strategies.Methods: After reviewing the literature, a survey study was conducted to inform the design of the study mobile application (app) to be used as the one of the study data collection tools. Next a pilot study (n=10) was conducted to test the study design, procedures, mobile devices, and mobile device data transmission. Finally, the main dissertation study used an exploratory longitudinal mixed methods approach to explore the feasibility of monitoring symptoms in children and adolescents (n = 20) with life-threatening illness using mobile health technology, and developed symptom data visualizations from this data. Interviews with both patients and a parent caregiver (once during the study) were conducted to obtain their perspectives on the mobile technology use and the data visualizations. Results: We successfully designed the study app, Technology Recordings for better Understanding Pediatric Blood and Marrow Transplant (TRU-PBMT) and Technology Recordings to better Understand Oncology for use as one of the symptom data collection tools in the preliminary and dissertation studies. Findings from the pilot study demonstrated that it was feasible to collect longitudinal symptom data on children and adolescents with life-threatening illness using a wearable and a study app. We found it necessary to use a different wearable than the original one based on participant feedback and found our study approach and procedures to be sound. The dissertation study demonstrated feasibility and acceptability for the use of two mobile devices to collect symptom data in children and adolescent with life-threatening illness. We developed data visualizations to illustrate symptom dynamics and found patients and parents to be captivated by the symptom patterns and asking to learn more. Interviews with participants and parents led to a better understanding of the use of mHealth technology in symptom management and how individuals perceive, interpret, and make meaning of data visualized from these technologies. Conclusion: This dissertation established the feasibility and acceptability of using two mobile technologies for monitoring symptoms and further explored opportunities to visualize this data in an effective and useful manner for acutely ill children and adolescents. Knowledge generated from this work advances symptom science research and offers a framework to guide other study designs in the incorporation of mobile technologies to enhance symptom management, and improve patient outcomes. Using mobile health technologies presents new possibilities to develop precision health symptom management strategies for both acute and chronic conditions leading to improved health outcomes and quality of life.</p
Digital Health for Diabetes Self-Management Among Black Men: Barriers, Facilitators, and User Preferences
This dissertation aimed to explore the barriers, facilitators, and user preferences of digital health use for diabetes self-management among Black men while also investigating clinicians’ perspectives of digital health use for clinical decision making and management of diabetes. Chapter one contains an introduction to digital health and diabetes management among Black men, followed by gaps in the literature and aims addressed within this dissertation. Chapter Two is a study designed to evaluate the barriers and facilitators to digital health use for self-management of diabetes among Black men. Chapter Three is a study intended to investigate desired design requirements for a diabetes self-management app among Black men living with diabetes with Black men as the key stakeholders. Chapter Four is a study constructed to evaluate clinicians’ perspectives of the utility of patient generated health data to guide clinical decision making and self-management of diabetes. Chapter five provides an overall review of the dissertation, a discussion on the implications of the research, study limitations, and directions for future research.</p
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
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
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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