Exploring linguistic characteristics of highly browsed and downloaded academic articles Views and downloads of academic articles have become important supplementary indicators of scholarly impact. It is assumed that linguistic characteristics have an influence on article views and downloads to some extent. To understand the relationship between linguistic characteristics and article views and downloads, this study selected 63,002 fulltext articles published from 2014 to 2015 in the PLoS (Public Library of Science) journals (PLoS Biology, PLoS Computational Biology, PLoS Genetics, PLoS Medicine, PLoS Neglected Tropical Diseases, PLoS One and PLoS Pathogens), and introduced seven indicators (title length, abstract length, full text length, sentence length, lexical diversity, lexical density and lexical sophistication) to measure linguistic characteristics of articles, grouped into Top 20% viewed and downloaded (proxy of highly browsed and downloaded articles), total and Bottom 20% viewed and downloaded categories. The results suggested that most linguistic characteristics played little role in article views and downloads in our data sets in general, but some linguistic characteristics (e.g. title length and average sentence length) in specific PLoS journal and platform (PLoS platform or PubMed Central platform) played certain role in article views and downloads. Also, journal differences and platform differences regarding linguistic characteristics of highly viewed and downloaded articles were existed.

Funding information in Web of Science: An updated overview. Despite the limitations of funding acknowledgment (FA) data in Web of Science (WoS), studies using FA information have increased rapidly over the last several years. Considering this WoSu0027recent practice of updating funding data, this paper further investigates the characteristics and distribution of FA data in four WoS journal citation indexes. The research reveals that FA information coverage variances persist cross all four citation indexes by time coverage, language and document type. Our evidence suggests an improvement in FA information collection in humanity and social science research. Departing from previous studies, we argue that FA text (FT) alone no longer seems an appropriate field to retrieve and analyze funding information, since a substantial number of documents only report funding agency or grant number information in respective fields. Articles written in Chinese have a higher FA presence rate than other nonEnglish WoS publications. This updated study concludes with a discussion of new findings and practical guidance for the future retrieval and analysis of funded research.