1,721,098 research outputs found
Attitudes towards vaccines and intention to vaccinate against COVID-19 : a cross-sectional analysis— implications for public health communications in Australia
To examine SARS-CoV-2 vaccine confidence, attitudes and intentions in Australian adults as part of the iCARE Study. Design and setting Cross-sectional online survey conducted when free COVID-19 vaccinations first became available in Australia in February 2021. Participants Total of 1166 Australians from general population aged 18–90 years (mean 52, SD of 19).Fil: Enticott, Joanne C. Monash University; Australia.Fil: Gill, Jaskirath Singh. Monash University; Australia.Fil: Lavoie, Kim L. Montreal Behavioural Medicine Centre; Canada.Fil: Bacon, Simón L. Concordia University; Canada.Fil: Bacon, Simón L. Montreal Behavioural Medicine Centre; Canada.Fil: Lavoie, Kim L. Montreal Behavioural Medicine Centre; Canada.Fil: Lavoie, Kim L. Université du Québec à Montréal; Canada.Fil: Epstein, Daniel S. Monash University; Australia.Fil: Dawadi, Shrinkhala. Monash University; Australia.Fil: Teede, Helena J. Monash University; Australia.Fil: Boyle, Jacqueline. Monash University; Australia
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
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
Association between pregnancy intention and psychological distress among women exposed to different levels of restrictions during the COVID-19 pandemic in Australia
Background: The COVID-19 pandemic has had a negative impact on the mental health of people globally. Significant concerns about health and access to services among women of reproductive age considering pregnancy may cause psychological distress, and in turn increase health risks during and after pregnancy for mothers and offspring.Objectives: To examine the association between pregnancy intention and psychological distress during the COVID-19 pandemic in Australia, and explore if this association differed based on local viral transmission rates and corresponding levels of pandemic restrictions.Methods: A nationwide online survey was completed by 849 non-pregnant women aged 18-50 years between 15 October and 7 November 2020. Women were asked about their intention to become pregnant, and psychological distress was assessed using the Kessler Psychological Distress Scale (K10). Multivariable regression analysis examined associations between pregnancy intention and psychological distress. An interaction term was added to the model to examine differences in associations by level of viral transmission rates and lockdown restrictions which was determined based on postcode.Results: Pregnancy intention was not associated with experiencing (very) high psychological distress in the overall study population (odds ratio (OR) 1.42, 95% CI 0.94, 2.11). The interaction term (p = 0.09) suggested potential differences by level of restrictions and viral transmission rates. In stratified analysis among women living in a location with strict lockdown restrictions and high viral transmission rates leading up to and during the study, those planning to become pregnant were more likely to experience (very) high psychological distress (OR 3.39, 2.04, 5.65) compared with women not planning to become pregnant. Pregnancy intention was not associated with psychological distress among women exposed to lower levels of pandemic restrictions and viral transmission rates (OR 1.17, 0.74, 1.85).Conclusions: Our findings highlight the need to identify and support women planning pregnancy during a public health crisis to mitigate potential short- and long-term intergenerational negative health outcomes associated with psychological distress.</p
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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