Tweet Readers of this blog are not new to my ramblings on soft peer review, social metrics and post-publication impact measures: can we measure the impact of scientific research based on usage data from collaborative annotation systems, social bookmarking services and social media? should we expect major discrepancies between citation-based and readership-based impact measures? are [...]
Tags: bookmarks, collaborative annotation, crowdsourcing, g-index, h-index, mashup, mendeley, metrics, references, research impact, soft peer review, Statistics, usage factors
Tweet In a previous episode, I suggested that productivity is really just an efficiency measure. Since the working currency for academics is arguably prestige, productive researchers are those that can acquire the most prestige for the least effort and this can be formally written as: where each task t is assigned a prestige benefit (pt [...]
Tags: metrics
Tweet I want to try something a bit different in this post. Here at AP.com, we’ve talked a lot about tools, theory, trends and the general ephemera of academic productivity. But writing as academics, we should probably be trying to take this experience and build it into a cohesive model of productivity. So my goal [...]