Applied evaluative informetrics

書誌事項

Applied evaluative informetrics

Henk F. Moed

(Qualitative and quantitative analysis of scientific and scholarly communication / series editors, Wolfgang Glänzel, Andras Schubert)

Springer, c2017

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注記

Includes bibliographical references (p. 301-312)

内容説明・目次

内容説明

This book presents an introduction to the field of applied evaluative informetrics, dealing with the use of bibliometric or informetric indicators in research assessment. It sketches the field's history, recent achievements, and its potential and limits. The book dedicates special attention to the application context of quantitative research assessment. It describes research assessment as an evaluation science, and distinguishes various assessment models, in which the domain of informetrics and the policy sphere are disentangled analytically. It illustrates how external, non-informetric factors influence indicator development, and how the policy context impacts the setup of an assessment process. It also clarifies common misunderstandings in the interpretation of some often used statistics. Addressing the way forward, the book expresses the author's critical views on a series of fundamental problems in the current use of research performance indicators in research assessment. Highlighting the potential of informetric techniques, a series of new features is proposed that could be implemented in future assessment processes. It sketches a perspective on altmetrics and proposes new lines in longer term, strategic indicator research. It is written for interested scholars from all domains of science and scholarship, and especially for all those subjected to research assessment, research students at advanced master and PhD level, research managers, funders and science policy officials, and to practitioners and students in the field.

目次

Preface.- Structure of the book.- Acknowledgements.- Executive Summary.- PART 1: General Introduction and Synopsis.- 1. General introduction.- 2. Base notions and general conclusions.- 3. Synopsis (incl. summary tables).- PART 2. Historical overview lectures.- 4. De Solla Price's Networks of Scientific Papers.- 5. The Citation Cycle and the structure of science.- 6. Science maps and mapping softwares.- 7. Eugene Garfield's Science Citation Index.- 8. Web of Science, Scopus and Google Scholar.- 9. Informetrics as a big data science.- 10. Science-Technology linkages: Francis Narin'a patent citation analysis.- 11. Models of the relationship between science and technology.- 12. Position of firms in bibliometric rankings.- 13. Journal impact factor and SNIP.- 14. Eigenfactor and SJR.- 15. Full text downloads.-16. Relative citation rates.- 17. H-index.- 18. Altmetrics (including downloads).- PART 3. Studies on hot topics.- 19. World university rankings.- 20. The effects of Open Access publishing.- 21. Models of scientific development.- 22. Google Scholar.- PART 4. Perspective articles.- 23. The potential of altmetrics.- 24. The need to study the quality of the manuscript peer review process.- 25. The need to develop author self evaluation tools.- 26. On the measurement of societal impact.- 27. Informetric applications in other disciplines: sport science and musicology.- References.

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