Scholarly Publishing

Impact metrics are quantitative indicators used to evaluate the performance and impact of journals, articles, or individual researchers. They're used in tenure reviews, grant applications, and institutional reporting - but no single metric tells the whole story.

Here's a list of common metrics, although there are many more:

• Journal Impact Factor (JIF)
• h-index
• g-index
• Eigenfactor score
• Altmetrics (alternative metrics)

There are several terrific resources for learning more about impact metrics. 

• Metrics Toolkit: This site provides detailed information about several different metrics, including alternative metrics. Each metric description includes information about appropriate use cases and, importantly, limitations.
• Impact Metrics: Scholarly Publishing guide from Simon Fraser University. This guide breaks down article-level, journal-level, and author-level metrics.
• Understanding journal metrics and Research metrics infographic from Taylor & Francis
• Understanding journal and article metrics infographic from Wiley

Each metric has its own "best" use case and also its notable limitations. Furthermore, metrics are only one piece of the story. Here's what they don't reveal - and why it matters.

• Quality of Research: A highly cited paper might be flawed or controversial; a brilliant one might be undercited (due to paywalls or other circumstances).
• Disciplinary Differences: Humanities and some social sciences articles accumulate citations more slowly - or not at all in traditional databases.
• Career Stage & Access: Early-career researchers, adjunct faculty, and those outside large research institutions often have lower visibility.
• Language & Geographic Bias: Many databases prioritize English-language and Global North publications.
• Teaching, Mentorship, or Service: No metric captures your impact in the classroom, with students, or in the community.
• Use Beyond Citation: Your work might influence practice, policy, or creative work - but never get cited formally.

Use Metrics Responsibly

Research evaluation experts caution against relying on metrics alone. DORA (San Francisco Declaration on Research Assessment) advocates for evaluation research on its own merits - not just journal metrics.

✅ Tip: Use qualitative and quantitative indicators to show impact.