
TL;DR
This paper introduces applied evaluative informetrics, discussing its history, key indicators, and the role of metrics in research assessment, aiming to guide scholars and developers in understanding and applying these tools effectively.
Contribution
It provides a comprehensive overview of the field, analyzing 28 different indicators and exploring their strengths, limitations, and policy implications in research evaluation.
Findings
Analysis of 28 citation, patent, reputation, and altmetrics indicators
Discussion of the pros and cons of various research performance metrics
Insights into the policy and development context of evaluative informetrics
Abstract
This manuscript is a preprint version of Part 1 (General Introduction and Synopsis) of the book Applied Evaluative Informetrics, to be published by Springer in the summer of 2017. This book presents an introduction to the field of applied evaluative informetrics, and is written for interested scholars and students from all domains of science and scholarship. It sketches the field's history, recent achievements, and its potential and limits. It explains the notion of multi-dimensional research performance, and discusses the pros and cons of 28 citation-, patent-, reputation- and altmetrics-based indicators. In addition, it presents quantitative research assessment as an evaluation science, and focuses on the role of extra-informetric factors in the development of indicators, and on the policy context of their application. It also discusses the way forward, both for users and for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
