Research Solutions, Inc., a pioneer in providing on-demand access to scientific, technical and medical (STM) information for research-intensive organisations, has announced that its wholly owned subsidiary Reprint Desk, Inc. have agreed to integrate Altmetric badges to scholarly content acquired via Reprints Desk's award-winning research retrieval platform Article Galaxy.
The Altmetric badges provide an at-a-glance visualisation of the attention an individual's research output (in this case a journal article) has received online from the mainstream and social media, public policy documents, blogs, Wikipedia and other scholarly forums, helping users to evaluate the reach and influence of their research.
A user accessing journal articles via Reprints Desk's paid add-on Article Galaxy Widget will receive real-time attention metrics at the point of individual discovery. Article Galaxy Widget users can also view the up-to-date metrics for any article previously accessed via their purchase history. By clicking on the badge visualisations, users will be directed to the Altmetric details page, where they can browse a collated record of all of the attention a particular item received.
Added to users' bookmarks bar, Article Galaxy Widget provides shopping cart-like access to and simplified viewing of content extracted directly from preferred discovery environments, currently more than 50 popular online research tools.
Corporations, academic institutions, and government organistions around the world rely on Article Galaxy for copyright-compliant access to full-text scientific, technical, and medical content when subscription access does not yet exist. As a cloud-based service, Article Galaxy provides one-stop shopping and low cost acquisition of full-text journal articles, ensuring copyright-compliant access when filtering requests against subscriptions and Open Access content.
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).
