1,721,265 research outputs found
[Portrait of Paul Keating 1992] [picture] /
No full textLabel on reverse: Please acknowledge Peter West, Government Photographic Service, Canberra, Australia.; Also available in electronic version via the Internet at: http://nla.gov.au/nla.pic-an8936102; P339
The quantified patient in the doctor’s office: understanding clinical workflows for using patient self-tracked data
No full textFitbit and Apple Health are two popular consumer technologies amongst a growing plethora of health wearables and smartphone apps. These devices have empowered a new kind of patient – the quantified patient – to collect data on diverse aspects of their own health. From heart rate and physical activity, to sleep and mood, these data have the potential to help clinicians diagnose disease, personalise treatments to individual patients, and avoid delivering unnecessary medical procedures. Realising this potential is vital as we enter an era of ageing population, chronic disease epidemics, and soaring healthcare costs. However, these self-tracked data are new to medicine, so it is unknown how clinicians might use such unfamiliar data. This research aimed to understand clinicians’ experiences with self-tracked data in their clinical workflows, such that future use of such data can be enabled through appropriate technology design and consideration of clinicians’ work practices. Interviews were conducted with 13 clinicians of a broad spectrum of clinical roles, including cardiology, general practice, and mental health. This was followed by workshops with five clinicians in the co-design of a software-based tool for using self-tracked data within the management of chronic heart conditions. These studies revealed that there are common clinical workflows for using self-tracked data, delineating a process of evaluating data usability while collaborating with the patient to ensure mutual understanding. However, constraints of the clinical settings and of data usability presented barriers to this workflow, limiting the potential for self-tracked data. The co-designed prototype unveiled several design principles for overcoming these barriers, reflecting the importance of clinicians’ participation in future research of self-tracked data. This research contributes an understanding of the diverse opportunities for self-tracked data and design principles for overcoming the barriers to using such data in a future data-driven medicine
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
Macroscope
No full textThis is a Google Cloud Platform image with data from the Macroscope project. This dataset is made available to University Staff and Students only due to rights and technical issues.</span
"A game without competition is hardly a game": The impact of competitions on player activity in a human computation game
No full textVirtual citizen science (VCS) projects enable new forms of scientific research using crowdsourcing and human computation to gather and analyse large-scale datasets. To attract and sustain the number of participants and levels of participation necessary to achieve research aims, some VCS projects have introduced game elements such as competitions to tasks. However, we still know very little about how some game elements, particularly competitions, influence participation rates. To investigate the impact of game elements on player engagement, we conducted a two-part mixed-methods study of EyeWire, a VCS game. First, we interviewed EyeWire designers to understand their rationale for introducing competitions. Guided by their answers, we analysed two datasets of EyeWire user task contributions and chat logs to assess the effectiveness of competitions in achieving designers' goals. Our findings contribute to the growing understanding of how competitions influence participant activity in human computation initiatives and socio-technical systems such as VCS
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
Asthma
No full textThis is a Google Cloud Platform image with data from the Asthma project. This dataset is made available to University Staff and Students only due to rights and technical issues.</span
Distributed Observatory Search
No full textThis is a Google Cloud Platform image with data from the Distributed Observatory Search project. This dataset is made available to University Staff and Students only due to rights and technical issues.</span
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
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