As part of the ongoing development of ScienceOpen 2.017, ScienceOpen has announced a new context-enhanced webpage for each of its 27 million article records. Such enriched article metadata is becoming increasingly important in defining the context of research in the evolution of scholarly communication as we are moving away from journal- to article-level evaluation.
All of the statistics have been moved to the top of the page, including the number of page views or readers, the Altmetric score, the number of recommendations, and the number of social media shares.
Newly featured statistics include the top references cited within, the top articles citing that paper, and the number of similar articles based on keywords and topics. These new features are expected to be useful for authors as content creators, researchers as users, as well as publishers for understanding the popularity and context of research they publish.
For authors, many of these statistics are simply not provided by traditional publishers, or require some sort of fee-based service to see, such as Scopus. ScienceOpen provides all of these for free even if you are not a member of ScienceOpen, although it is encourage via ORCID so that you can leave comments and formally peer-review any article on the platform.
For publishers, these statistics tell you about how much additional usage and traffic content is getting from this platform. The importance of this is that these are article-level statistics, which are expected now as default from publishers, as part of the evolving landscape of scholarly publishing from a journal-level to an article-oriented economy.
For researchers, these statistics tell you about the usage and the potential relevance of articles to you and your research community, which can help save time when deciding which articles are most relevant to your own work.
Additionally, a giant READ button has been added to article pages. This takes you to the full text or PDF of an article when available.
Brought to you by Scope e-Knowledge Center, a world-leading provider of metadata services, abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).
