Art Level metrics : Analyzing Value in the Scholarly Content. 2012 Charleston Conference Schedule

Abstract

Richard Cave's Slides William Gunn's Slides Elizabeth Lorbeer's Slides Michael Margotta's Slides Heather Piwowar's Slides Article level metrics are increasing availability of real, or near real time data via online content delivery mechanisms that describes academic content viewing activity; including downloads, citation activity, level of social bookmarking, trackbacks and other views into the performance and scope of published research. The data presented in article level metrics benefit all stakeholders in the scholarly content value chain. Libraries can capture research publication impact of faculty research. Researchers are able to identify collaborators in real time. Funding organizations can identify the impact of the research they fund. Publishers are better able to demonstrate the quality, value and reach of their published product. Using a panel of publishers, host service providers, and analytics industry leaders, an overview of available article level metrics will be discussed with the specific focus on the benefit for the institutional library.