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 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 [...]
Tweet MINDLESS SIGNIFICANCE TESTING Decision science news has a post on hypothesis testing that I find relevant. Some well-made points grow old while no one pays attention to them. One of the most embarrassing for social science is its categorical perception of p-values. Tender of kindred Web site Andrew Gelman and Hal Stern have an [...]