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> Maps and cluster evaluation had been carried
Ravn
post Sep 15, 2017, 06:19 PM
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Applying Poisson loglinear regression and making use of the amount of articles with keyword "microbiology" as a predictor variable showed that the number of articles on water microbiology is really a significant (P 0.01) predictor of worldwide productivity of water associated wellness publications (Table 1). The model showed that the worldwide productivity are going to be 1.059 occasions greater for every further report published on water microbiology. In other words, there is a 5.9 raise in the quantity of publications for each and every additional short article published on water microbiology.Journal, country, author, and institutional productivityA total of 2267 publications was retrieved from Scopus using the search query presented in the methodology section. The total citations for retrieved publications was 38,219; an average of 16.82 citations per document.Maps and cluster evaluation have been carried out using VOSviewer technique (Nees Jan van Eck and Ludo Waltman, Leiden University's Centre for Science and Technology Research) [20]. The top quality of publications was assessed working with total citations, citations per report, and Hirshindex (h-index). These parameters were made use of to assessSweileh et al. Annals of Occupational and Environmental Medicine (2016) 28:Page 3 ofquality of publications by journals, nations, and institutions. In addition to these parameters, impact factor (IF) was made use of as an indicator of journal strength publishing articles on water related wellness challenges. Regarding the h-index, it really is obtained straight from Scopus. To get the h-index for authors, the information retrieved had to be restricted to publications by every single author and Scopus will calculate the total citations and h-index right away as an inherent function in Scopus. Similarly, the h-index for any country, institution, or a journal is calculated by limiting data to the country or institution or journal that we are considering, the Scopus will do the citation evaluation and h-index directly. Relating to IF, it was obtained in the newest Journal Citation Report published by Thompson Reuters. Poisson regression is actually a sort of regression evaluation that is made use of to test the significance of any associated term as a predictor of a count variable. Poison regression needs a dependent variable and one or much more independent variables as co-variate. Inside the existing study, annual worldwide publications on water associated diseases was used as a dependent variable. Keywords used as a single independent co-variate were chosen based on the keyword list made by Scopus for the retrieved data.ResultsGeneral informationoccurrences), and cryptosporidiosis (82 occurrences). In cluster number two, the following terms had been most common: USA (79 occurrences), EPA (77 occurrences), and fluoride (73 occurrences). Cluster number three contained the following major frequent terms: Arsenic (238 occurrences), cancer (112 occurrences), and cardiovascular (55 occurrences). In cluster number 4, chlorine (62 occurrences), trihalomethane (43 occurrences), and asthma (27 occurrences) had been most frequent terms. Finally, cluster number five contained 1 term which was H. pylori (31 occurrences). Other terms encountered in each cluster could be noticed in the density visualization map. Of specific note is definitely the term Bangladesh, Taiwan, Nepal which have been noticed in cluster quantity 3 in addition to arsenic. The term WHO was also observed often in cluster quantity one in addition to diarrhea and gastroenteritis.
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