Visualization of co-readership patterns from an online reference management system
We analyze the applicability of readership data for knowledge domain visualizations. 69.2% of articles in an avg. user library can be attributed to a single subject area. We create a visualization of educational technology based on co-readership patterns. 80% of the publications included are from within ten years of data collection. The characteristics of the readers introduce certain biases to the visualization.
knowledge domain visualization relational scientometrics topical distribution mapping altmetrics readership statistics