1,721,001 research outputs found
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
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
A RESEARCH ON THE ASSOCIATION BETWEEN OBESITY AND NEW INFLAMMATION MARKERS IN ADULT FEMALES AND MALES
Objective: Obesity is a major healthcare problem in the world. Recently, it is shown that an association between obesity and inflammation. New inflammation markers have been started use in obesity. The aim of the present study was to detect the changes novel inflammation markers in our obesity patients. Method: Four hundred sixty-four patients (female = 363, male = 101) were used in study. Height was measured with barefoot on a flat surface. Whole body analysis was performed by bioempedence device (Tanita-BC418), and body weight, body mass index (BMI), fat percentage, fat mass(FM), fat-free mass(FFM) were detected. Blood parameters of the patients neutrophil, lymphocyte, platelet, monocyte, MPV data were obtained. NLR (neutrophil/lymphocyte ratio), LMR (lymphocyte/monocyte ratio), PLR (platelet/lymphocyte ratio), and SII(SII = platelet x neutrophil/lymphocyte) were calculated from these data. Statistical analysis of the data obtained through anthropometric measurements and blood parameters was conducted. Result: In female, it was detected that SII increases proportionally with body weight, BMI, fat percentage, fat mass, FFM, FMI(fat mass index), and NLR increases proportionally with fat percentage, fat mass; however, PLR ratio increases in proportion with fat percentage, fat mass, and FMI. In male, it was detected that SII increases with body weight, BMI, fat percentage, fat mass, FFM, FMI , and NLR increases with body weight, BMI, fat percentage , fat mass, FMI; however, LMR ratio increases with fat mass and FMI. Conclusion: In the present study we detected significant changes in inflammation markers in obesity, both female and male participants. We obtained significant outcomes on fat percentage, fat mass, fat-free mass, FMI and SII, NLR, LMR, and PLR levels individuallcy on both sexes. We believe that these parameters obtained from simple haemogram are found to be increased in relation to adipose tissue and may be important in progression and treatment of obesity
The relationship between childhood obesity with inflammatory mediators
Objectives: To determine the association of various obesity markers with systemic immune-inflammatory index. Methods: The cross-sectional study was conducted at Marmara University, Istanbul, Turkey, from January 2018 to October 2018 and comprised children aged 6-16 years admitted to the outpatient clinic due to obesity. The patients were evaluated for height, weight, body mass index (BMI), fat percentage (F%), fat mass (FM) and fat-free mass (FFM). Waist circumference was measured and neutrophil, platelet and lymphocyte counts and neutrophil-tolymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and systemic immune-inflammation index (SII) were calculated on the basis of haemogram. Data was analysed using Number Cruncher Statistical System 2007. Results: Of the 335 subjects, 203(60.6%) were girls and 132(39.4%) were boys. Univariate analysis of girls showed the effects of BMI, F%, FM, FFM and WC on NLR. FM remained a significant and independent risk factor for NLR (p<0.01). The effects of BMI, F%, FFM and WC were not significant in multivariate model (p>0.05). Univariate analysis of girls also showed the effects of BMI, F%, FM, FFM and WC measurements on SII. F% remained a significant and independent risk factor on SII (p<0.01). The effects of BMI, fat mass, FFM and WC were not significant in multivariate model (p>0.05). Conclusion: In this study, the increase of SII, NLR and thrombocyte in terms of weight, BMI, fat percentage and fat mass supports the increase of inflammation due to the increase of fat in obesity. In terms of comorbidities in obesity, SII and NLR suggest that there may be inflammatory biomarkers which can be used in follow-up
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