1,721,074 research outputs found
Increased antidepressant use during the COVID-19 pandemic: Findings from the Friuli Venezia Giulia region, Italy, 2015–2020
Full text linkBACKGROUND: Few studies investigated the impact of the pandemic on antidepressant (AD) use. METHODS: The Social and Health Information System of Friuli Venezia Giulia region, Italy, provided data on AD use. Sex, age, AD class and month used the amount of AD prescriptions, measured by defined daily doses (DDD) per 1000 inhabitants per day, to compare AD use in 2020 with the period 2015–2019. A linear trend model predicted AD use for 2020, based on years 2015–2019. RESULTS: AD use was on average 20% higher in each month of 2020 when compared with the same month for the period 2015–2019, with an increase of more than 30% in the first four and in the last two months of 2020. The observed AD use in 2020 was higher than predicted, particularly in men, and in the 30–59 years age group. LIMITATIONS: Descriptive study of AD use without analysis of data at the individual level. No information on psychiatric diagnoses of AD users. CONCLUSION: AD use was higher in the first year of the COVID-19 pandemic. Further research is warranted to understand if this may be related to a rise in mental disorders in the general population during the COVID-19 pandemic
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
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
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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
No full textWe 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
Validation of diagnoses of liver disorders in users of systemic azole antifungal medication in Sweden
Full text linkBackground Liver disorders are important adverse efects associated with antifungal drug treatment. However, the accuracy of Clinical International Classifcation of Diseases (ICD)-10 codes in identifying liver disorders for register based research is not well-established. This study aimed to determine the positive predictive value (PPV) of the ICD10 codes for identifying patients with toxic liver disease, hepatic failure, and jaundice among patients with systemic antifungal treatment. Methods Data from the Swedish Prescribed Drug Register and the National Patient Register were utilized to identify adult patients who received systemic azole antifungal drugs and had a recorded diagnosis of toxic liver disease (K71.0, K71.1, K71.2, K71.6, K71.8, K71.9), hepatic failure (K72.0, K72.9), or jaundice (R17) between 2005 and 2016. The medical records of all included patients were reviewed. Prespecifed criteria were used to re-evaluate and confrm each diagnosis, serving as the gold standard to calculate PPVs with 95% confdence intervals (95% CI) for each diagnostic group. Results Among the 115 included patients, 26 were diagnosed with toxic liver disease, 58 with hepatic failure, and 31 with jaundice. Toxic liver disease was confrmed in 14 out of 26 patients, yielding a PPV of 53.8% (95% CI 33.4–73.4%). Hepatic failure was confrmed in 26 out of 38 patients, resulting in a PPV of 62.1% (95% CI 48.4–74.5%). The highest PPV was found in jaundice, with 30 confrmed diagnoses out of 31, yielding a PPV of 96.8% (95% CI 83.3–99.9%). Conclusion Among patients who received azole antifungal treatment and were subsequently diagnosed with a liver disorder, the PPV for the diagnosis of jaundice was high, while the PPVs for toxic liver disease and hepatic failure were lower.Fil: Giunta, Diego Hernan. Karolinska Huddinge Hospital. Karolinska Institutet; Suecia. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Karlsson, Pär. Karolinska Huddinge Hospital. Karolinska Institutet; SueciaFil: Younus, Muhammad. Karolinska Huddinge Hospital. Karolinska Institutet; SueciaFil: Berglind, Ina Anveden. Karolinska Huddinge Hospital. Karolinska Institutet; SueciaFil: Kieler, Helle. Karolinska Huddinge Hospital. Karolinska Institutet; SueciaFil: Reutfors, Johan. Karolinska Huddinge Hospital. Karolinska Institutet; Sueci
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
- …
