1,720,984 research outputs found
Spring, it’s time to ROSC
Full text linkOut‐hospital cardiac arrest (OHCA) is a multi‐factor disease. Many studies have correlated OHCA with a patient’s lifestyle; unfortunately, less evidence highlights the correlation with mete‐ orological factors. Methods: Analysis of 23959 OHCA rescue performed by the emergency medical system (EMS) of Lombardy Region, the most Italian populated region, in 2018 and 2019, the pre‐pandemic era through a retrospective observational cohort study. The aim of the study consists on evaluating the probabil‐ ity of Return Of Spontaneous Circulation (ROSC) during months to highlight potential seasonal impact in ROSC achievement. In March and April, we highlight an increase of ROSC (OR: 1.20 95% CI 1.04‐1.31; p < 0.001) compared to other months. Dur‐ ing March and April, we highlight an increase of public access defibrillation (PAD) (3.5% vs 2.5%; p < 0.001), and a reduction of overage time of first vehicle on scene (11.5 vs 11.8; p < 0.001) and age of patient (73.5 vs 74.2; p < 0.01). Finally, we highlight a slight reduction of cancer patient (1.6% vs 1.1%; p = 0.01). We didn’t register significant differences in the other variables ana‐ lyzed as: onset place, sex, rescue team and the patient’s death before the rescue arrive. We highlight a difference in ROSC prob‐ ability during the first month of spring. We register few differences in patient characteristics and EMS rescue, though just PAD use and age clinically impact OHCA patients. In this study, we are unable to fully understand the modification of the probability of ROSC in these months. Even though four variables have a statisti‐ cally significant difference, they can’t fully explain this modifica‐ tion. Different variables like meteorological and seasonal factor must be considered. We propose more research on this item
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
Social Illness before and after the COVID-19 Pandemic: A Regional Study
No full textIntroduction:Coronavirus disease 2019 (COVID-19) has dramatically changed the epidemiology of several diseases. Much evidence on this has been published in the pandemic phase. In addition, many studies have shown that phenomena such as stress, substance abuse, and burnout increased in the general population during the lockdown. Unfortunately, few studies analyze the post-pandemic phase. Study Objective:The study aimed to evaluate the trend of broad social problems, such as a diagnosis by the emergency department (ED), in the post-pandemic phase in the Lombardy (Italy) region. Methods:The study is a retrospective observational cohort study. All admissions to emergency rooms in the Lombardy region registered in the Emergency Urgency OnLine (EUOL) portal made from January through June 2019 were analyzed, having as main causes: psychiatric disorders, self-harm, substance abuse, social disadvantage, and violence. All accesses in emergency rooms in the Lombardy region registered in the EUOL portal made from January 1, 2019 through June 30, 2019 were analyzed and compared with the same period in 2022. Results:The study recorded an increase in the likelihood of events of self-harm (OR = 2.1; 95% CI, 1.8-2.6; P <.0001), substance abuse (OR = 1.2; 95% CI, 1.1-1.3; P <.0001), violence by others (OR = 1.3; 95% CI, 1.2-1.4; P <.0001), and social disadvantage (OR = 1.2; 95% CI, 1.1-1.4; P = .0045). The events are more concentrated in suburban areas (OR = 1.3; 95% CI, 1.2-1.4; P <.001). Conclusion:The increase in diagnoses of these social problems in the ED is only the culmination of a phenomenon that hides an underlying rise in social illness. In the post-COVID-19 phase, there is a need to invest in community care and social illness prevention policies
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