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Content

1 Introduction; 2 Ontological Categorisation and Mereology; Human assessment; Categories and the properties of experiential events; Mathematical, computing, artificial intelligence and library classification approaches; Sociological approaches; Psychological approaches; Personal Construct Theory; Philosophical approaches to categories; Mereology: facet theory and relationships between categories; Neuroscience and categories; Conclusions; 3 Facet Theory and Thinking about Human Behaviour Generating knowledge in facet theory: a brief overviewWhat is facet theory?; Facets and facet elements; The mapping sentence; Designing a mapping sentence; Narrative; Roles that facets play; Single-facet structures: axial role and modular role; Polar role; Circumplex; Two-facet structures; Radex; Three-facet structures; Cylindrex; Analysing facet theory research; Conclusions; 4 Evolving Facet Theory Applications; The evolution of facet theory; Mapping a domain: the mapping sentence as a stand-alone approach and integrative tool; Making and understanding fine art; Defining the grid: a mapping sentence for grid imagesFacet sort-technique; Facet mapping therapy: using the mapping sentence and the facet structures to explore client issues; Research program coordination; Conclusions and Future Directions; Glossary of Terms; Bibliography; Index

Date

17.10.2015 17:22:01

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Abstract

In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master?s students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.