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Elsevier BV

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  • Identifying research supporting the United Nations Sustainable Development Goals
    In an effort to identify research that supports the UN SDGs, Elsevier has generated a set of Scopus queries related to each of the SDGs. In this dataset, you will find documentation describing how each of the Scopus queries were created along with a collated list of the queries.
    • Tabular Data
    • Dataset
    • Document
  • Data for aggregate statistics in "Hundreds of extreme self-citing scientists revealed in new database"
    Data supporting the charts in https://www.nature.com/articles/d41586-019-02479-7. Based on a snapshot of Scopus dated July 2019, across around the 7 Million author profiles that have 5 or more publications in Scopus. Information about the compilation of the dataset of which this aggregate is derived is available with the article dataset: https://data.mendeley.com/datasets/btchxktzyw/1
    • Tabular Data
    • Dataset
  • Country to country citation ratios
    Pair-wise citation numbers of countries, based on citations originating from AR/RE/CP papers in 2017 (Scopus) to AR/CP/RE in 2013-2017. Self-citations are excluded. Ratio's of references are only counted for references to citations in the cited window (sum=100%). Fractional counting applied: proportionally assigns fractions to countries based on the number of authors affiliated with that country in each paper. Scopus dataset extracted 20181205
    • Tabular Data
    • Dataset