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ABSTRACT: Background
The ability to comprehend a text depends primarily on the knowledge about its words. This study investigated the most frequent words in high impact factor (IF) English nursing journals.Materials and methods
This corpus-based study was conducted on the articles of 13 English nursing journals with an IF of over 0.7 from November 2014 to September 2016. After the typographical errors were corrected and the tokens (running words) in each journal were equalized, the tokens were analyzed using the Range software. Finally, a word list was extracted from the final 2851 articles and 8196,953 tokens to reach the optimal 98% vocabulary coverage.Results
A word list consisting of 1081 word families and 3175 word types with 5.24% coverage was extracted, which fulfilled
SUBMITTER: Pournia Y
PROVIDER: S-EPMC6298166 | biostudies-literature | 2019 Jan-Feb
REPOSITORIES: biostudies-literature