Mode of access: World Wide Web.

System requirements: Adobe Acrobat Reader.

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 139-153).

1. Introduction: 1.1. Indicator terminology and interpretation; 1.2. Metrics and indicators; 1.3. Web indicators; 1.4. Book-specific indicators; 1.5. Indicators for non-standard scholarly outputs; 1.6. Disciplinary and time differences; 1.7. Overview and intended audience -- 2. Evaluating indicators: 2.1. Evaluation methods; 2.2. Deliberate and accidental manipulation of results; 2.3. Summary and recommendations -- 3. Usage, popularity and attention indicators: 3.1. General Web citations; 3.2. Article download and view counts; 3.3. ResearchGate and Academia.edu download and view counts; 3.4. View, access or download counts for other scholarly outputs; 3.5. Likes and ratings for all scholarly outputs; 3.6. Citations and links from Twitter and Weibo; 3.7. Citations in general social network sites: Facebook, Google+; 3.8. Book review counts and ratings; 3.9. Book sales; 3.10. Library holdings for books; 3.11. Advanced Web server log file analysis; 3.12. Summary -- 4. Academic, commercial and organisational Web indicators: 4.1. Mendeley and social bookmarking/reader counts; 4.2. Google Books citations; 4.3. Citations from blogs; 4.4. Citations from patents; 4.5. Citations from the grey literature? PDF and doc files; 4.6. Book publisher prestige; 4.7. Summary -- 5. Educational impact indicators: 5.1. Syllabus mentions; 5.2. Citations in PowerPoint files; 5.3. Citations in Wikipedia; 5.4. Summary --

6. Medical impact indicators: 6.1. F1000Prime recommendations; 6.2. Citations in clinical guidelines; 6.3. Citations in clinical trials; 6.4. Summary -- 7. Applications: 7.1. Publishers and literature searchers; 7.2. Individual authors; 7.3. Assessing academic departments and research groups: individual outputs; 7.4. Academic departments and research groups: sets of publications; 7.5. Institutions; 7.6. Funding agencies; 7.7. Countries; 7.8. Journals; 7.9. Non-academic organisations; 7.10. Research administrators and managers; 7.11. Academic librarians; 7.12. Scholarly communication and science and technology studies researchers; 7.13. Summary -- 8. Collecting data for sets of documents: 8.1. Overview of Webometric Analyst; 8.2. Formatting sets of journal articles for Webometric Analyst; 8.3. Formatting sets of books for Webometric Analyst; 8.4. Mendeley readers; 8.5. Grey literature citations; 8.6. Patent citations; 8.7. PowerPoint citations; 8.8. Wikipedia citations; 8.9. Blog citations; 8.10. Syllabus citations; 8.11. General Web citations; 8.12. Tweet mentions via DOIs or links; 8.13. Google Books citation counts; 8.14. WorldCat library holdings; 8.15. Amazon reviews, ratings and sales ranks; 8.16. Goodreads reviews; 8.17. Extracting data from websites via SocSciBot crawls; 8.18. Summary --

9. Indicator formulae and experimental considerations: 9.1. Basic indicator formulae; 9.2. Citation windows and the influence of time on indicators; 9.3. Disciplinary and time differences; 9.4. Correlation tests; 9.5. The geometric mean; 9.6. MNLCS: field- and year-normalised indicators; 9.7. Proportion of non-zero values; 9.8. NPC: normalised proportion cited; 9.9. Regression analyses; 9.10. Comparing recently published articles: the sign test; 9.11. Summary -- 10. Calculating indicators with Webometric Analyst: 10.1. Indicators from Bing search data; 10.2. Indicators from Mendeley reader data; 10.3. Indicators from other data sources; 10.4. Summary -- 11. Conclusions: 11.1. Web indicators for books; 11.2. Web indicators for other scholarly outputs; 11.3. Responsibly interpreting Web indicators; 11.4. The future of Web indicators -- Bibliography -- Author biography.

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Compendex

INSPEC

Google scholar

Google book search

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.

Also available in print.

Title from PDF title page (viewed on October 21, 2016).