Visualizing Research Impact through Citation Data

Citation data: the wrong impact?

Processing and visualizing the data in tweets Citation

Microblogs such as Twitter provide a valuable corpus of diverse user-generated content. While the data extracted from Twitter is generally timely and accurate, the process by which developers currently extract structured data from the tweet stream is ad-hoc and requires reimplementation of common data manipulation primitives. In this paper, we present two systems for extracting structure from a...

Citation entropy and research impact estimation

A new indicator, a real valued s-index, is suggested to characterize a quality and impact of the scientific research output. It is expected to be at least as useful as the notorious h-index, at the same time avoiding some its obvious drawbacks. Sound, sound your trumpets and beat your drums! Here it is, an impossible thing performed: a single integer number characterizes both productivity and q...

Visualizing Science by Citation Mapping

Data Publications Correlate with Citation Impact

Neuroscience and molecular biology have been generating large datasets over the past years that are reshaping how research is being conducted. In their wake, open data sharing has been singled out as a major challenge for the future of research. We conducted a comparative study of citations of data publications in both fields, showing that the average publication tagged with a data-related term...