Bibliometric Measures in Citation-Tracking Databases
Table of Contents
- Scopus Citation Data
- Scopus Altmetric Data
- Web of Science Citation Data
- Google Scholar Citation Data
- More Information
rather than their general searching functionality! To learn about
searching these or other databases, please contact your Liaison Librarian.
- Citation-tracking databases collect and report a range of
bibliometric measures, however their publication and citation data is
limited to works indexed in that database. For more information about
known limitations to citation-tracking tools, see Citation-Tracking.
- Bibliometric data can support various levels of bibliometric
analysis. To understand possible objectives, and appropriate and
inappropriate uses of the data at different levels, see: Individual Data, Discipline Data, and Institutional Data.
- Research productivity, impact, and output naturally differs across
disciplines, as does the relevance and usefulness of bibliometric
measures. The reality is that citation-tracking databases do not capture
these known differences well, both in the bibliometric data offered and
Basket of Measures
measures are one data point! A basket of measures approach can lead to a
more robust understanding of elements of research productivity and
impact. Beyond bibliometric and altmetric measures, other measures used
to capture elements of research productivity and impact include:
- Peer review.
- Type and amount of intellectual property, e.g., patents, licenses, and spin-offs.
- Type and amount of research awards.
- Highly qualified personnel developed by a researcher or group.
- Publication acceptance rates.
To learn more about the topic of bibliometrics, please see Bibliometrics & Measuring Research Output.
Introduction - Bibliometric Measures in Citation-Tracking Databases - Research Guides at University of Waterloo Library