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  • In order to evaluate negative citations in articles and comments on PubPeer as mechanisms for correcting science, we have built up a corpus of articles associated with retraction or correction notices. As we are interested in citations, we focus here on articles with at least 1 citation according to Scite database, that is 45,811 articles.
    Data Types:
    • Tabular Data
    • Dataset
  • Scopus coverage updates (2011-2018) Data aggregated from Elsevier title list files; it provides: - source ID in Scopus - Title - ISSN - ESSN - Year of the title list file used as source - SNIP - Open access status - Status in the database (Added, previously indexed) - Filed - Subfield - ASJC code
    Data Types:
    • Tabular Data
    • Dataset
  • L'enquête a été menée auprès de chercheurs via l'envoi à des listes de diffusion et via des appels à participation sur Twitter entre le 24/08/2016 et le 27/09/2016. En langue française.
    Data Types:
    • Tabular Data
    • Dataset
  • This dataset has been used for experiments presented in the following paper Ermakova L, Bordignon F, Turenne N, Noel M (to be published in 2018) "Is the abstract a mere teaser? Evaluating generosity of article abstracts in environmental sciences" Frontiers in Research Metrics and Analytics. Those data result from the GEM score calculation for 36,237 abstract/article pairs retrieved from the ISTEX database. They have been enriched with values coming from Scopus (citations), JournalMetrics (subject areas) and oaDOI (Open access status). GEM Score = Generosity Measure
    Data Types:
    • Tabular Data
    • Dataset