“…In June 2009, BMC Medicine received its first official impact factor of 3.28 from Thomson Reuters. In recognition of this landmark event, the BMC Medicine editorial team present and discuss the vision and aims of the journal.…”
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“…DATA SOURCES: Computer databases including MEDLINE (OVID), EMBASE (OVID), BIOSIS Previews (Thomson-Reuters), CINAHL (EBSCO), Health Economic Evaluations Database (HEED), ISI Web of Science (Thomson-Reuters) and the Cochrane Library (Wiley) were searched from the year 2000 to January 2015. …”
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“…Some names that they use are Universal Impact Factor (UIF), Global Impact Factor (GIF), and Citefactor, and there even is a fake Thomson Reuters Company.…”
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“…A breakdown of the field aggregate impact factor of databases shows that for the 22 fields and four areas considered by Thomson Reuters, the leading provider of science indicators, five variables largely explain variance in impact factor of a given field. …”
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“…La aparición de Scopus (Elsevier) en noviembre de 2004 supuso un cambio en el mercado internacional de bases de datos y una presión añadida a la supremacía ejercida hasta ese momento por Web of Science (Thomson Reuters). El presente trabajo tiene como propósito la comparación de las posibilidades para recuperar y visualizar información en pantalla a partir del análisis de las interfaces gráficas de usuario y de los principales sistemas de búsqueda de ambas bases de datos. …”
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“…We evaluate the algorithms on two corpora of Reuters and the New York Times articles. The paper presents the most comprehensive study of metaphor identification in terms of scope of metaphorical phrases and annotated corpora size. …”
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“…A search of the Thomson Reuters Web of Science database returned 974 eligible articles (published between 1990 and 2016). …”
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“…Well-known datasets used for the experimentations reported in this paper include 20Newsgroups, LingSpam, Amazon Reviews and Reuters.…”
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“…It was found that all five tabloids gave adequate coverage to what Reuters considered the main item of international news that afternoon, and two prioritised serious articles that were critical of the British government. …”
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“…SIL staff have partnered with Thomson Reuters and the Global Names Initiative to further enhance the Index Animalium data set. …”
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“…Our aim was to re-examine this time-valence asymmetry using real-life data: a Reuter’s news and a Facebook status updates corpus. …”
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“…In this review article, according to Scopus ®, Thomson Reuters Web of Knowledge®, Scientific Information Database (SID) ® and Pubmed ® all papers published until July 2012 were thoroughly discussed and a brief note of each study was prepared.…”
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“…With the newly released impact factor from Thomson Reuters, we look at the first two years of the journal Theranostics under the scope of a new bibliometric designed for the analysis of emerging specialties and also for journals with a multidisciplinary approach. …”
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“…PURPOSE: The purpose was to provide a longitudinal overview of published studies that use finite element analysis in dental research, by using the SCI-expanded database of Web of Science(®) (Thomson Reuters). MATERIAL AND METHODS: Eighty publications from 1999-2000 and 473 from 2009-2010 were retrieved. …”
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“…METHODS: As a web-based analysis, all UKA research articles, editorial letters, case reports, reviews and meeting abstracts published on the Thomson Reuters’ Web of Knowledge were evaluated. The period from the first publication in 1980 to January 2019 was divided into four decades and publications were evaluated. …”
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“…For this, Scopus, Science Direct, Thompson-Reuters Web of Science, Google Scholar, PubMed and other relevant databases were used. …”
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“…Here, we perform a large-scale empirical analysis of journals from every field in Thomson Reuters' Web of Science database. We find that only 30 of the 2,184 journals have citation distributions that are inconsistent with a discrete lognormal distribution at the rejection threshold that controls the false discovery rate at 0.05. …”
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“…We evaluated the improved versions of nine well-known feature-selection methods (Information Gain, Chi statistic, Document Frequency, Orthogonal Centroid Feature Selection, DIA association factor, Comprehensive Measurement Feature Selection, Deviation from Poisson Feature Selection, improved Gini index, and Mutual Information) using naïve Bayes and support vector machines on three benchmark document collections (20-Newsgroups, Reuters-21578, and WebKB). The experimental results show that the improved scheme can significantly enhance the performance of the feature-selection methods.…”
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