This book is an authoritative handbook of current topics,
technologies and methodological approaches that may be used for the
study of scholarly impact. The included methods cover a range of
fields such as statistical sciences, scientific visualization,
network analysis, text mining, and information retrieval. The
techniques and tools enable researchers to investigate metric
phenomena and to assess scholarly impact in new ways. Each chapter
offers an introduction to the selected topic and outlines how the
topic, technology or methodological approach may be applied to
metrics-related research. Comprehensive and up-to-date, Measuring
Scholarly Impact: Methods and Practice is designed for researchers
and scholars interested in informetrics, scientometrics, and text
mining. The hands-on perspective is also beneficial to
advanced-level students in fields from computer science and
statistics to information science.
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