1,720,997 research outputs found
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
Portal diameter in the diagnosis of esophageal varices in 266 cirrhotic patients: which role?
No full textThe aim was to evaluate the predictability of portal diameter (PD) in the diagnosis of esophageal varices (EV) and of large size EV (F3EV) in a large series of patients with cirrhosis. Two-hundred sixty-six persons with cirrhosis (M:F 153:113; mean age 65.4 10 y) were studied by abdominal sonography and upper endoscopy. Portal hypertensive gastropathy (PHG) was found in 16.1% and EV was found in 60.9% of patients. Only Child’s class (B vs. A: OR 3.4, p < 0.0001; C vs. A: OR 10.3, p < 0.0001; C vs. B: OR 3.1, p 0.01) and age (OR 1.04, p 0.03) were independent predictors of EV, whereas PD was not (p 0.4). Child’s class and age were also the only independent predictors of F3EV. Mean PD showed a slight and not significant increase in PHG patients compared with patients with negative endoscopy, a reduction in F1EV patients and then a progressive increase in F2EV and F3EV patients. Patients with PD <12 mm showed a significantly higher prevalence of F1-F2EV (p < 0.05) and a near-significant lower prevalence of endoscopies negative for EV (p 0.06) than patients with 12 < PD < 13 mm. PD was not able to predict EV or F3EV in a large series of patients with cirrhosis. The oscillatory trend of PD, proceeding from patients with negative endoscopy to F3EV patients, seems to indicate that EV may unload portal pressure in the initial phases of portal hypertension
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
Clinical risk and patient safety: A multicenter cross-sectional study to explore knowledge, attitudes and practice of hospital nurses
No full textObjectives: To investigate knowledge, attitudes, and behavior of nurses working in acute care hospitals regarding clinical risk and patient safety, and to identify predisposing factors. Design: Cross-sectional multicenter study. Methods: The study was conducted in thirteen non-teaching acute public and private hospitals of a region of southern Italy from September through December 2015. A structured self-report questionnaire was administered to clinical nurses working in the hospitals involved. Three multivariate linear and logistic regression models have been constructed: knowledge of the definition of an adverse event; attitude towards risk of making an error while working; and nurses who reported at least one error in the past 12 months. Results: The sample consisted of 484 respondents out of 670 (72.2%) nurses approached. The final multivariable model showed that educational courses about patient safety play a significant role in nurses gaining knowledge of adverse events. In the absence of organization-wide patient safety programs, nurses with low knowledge levels showed a significantly higher perceived risk. Nurses (n=96) who made errors over the past 12 months had discussed them with head nurses (75%) and colleagues (41.7%). Anonymous reporting to the organization was very low, with only 8.3% of nurses who had made an error submitting an anonymous report. Conclusions: Managers should implement multimodal improvement strategies aimed at enabling nurses’ to recognize the critical issues of the system and to increase their reporting, in order to make the organizations safer
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
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