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Research Metrics and Impact: Home

This guide provides resources on bibliometrics, altmetrics and research impact; it covers author, journal, and article-level metrics to help you measure and enhance your scholarly influence.

Research Metrics and Impact Guide

Use research metrics and tools to help describe and measure the depth of your research impact.

For more help, contact your Subject Librarian

Featured Tools

What is it? SciVal is a research analytics tool developed by Elsevier that allows institutions and researchers to visualise research performance, benchmark against peers, and explore collaboration and funding opportunities using data from Scopus.

Why use it? Use SciVal to generate reports that provide tailored insights into your publication impact, collaboration networks, and disciplinary strengths all of which can support promotion, funding applications, and strategic planning.

Get started: Create a High Level Researcher Report (which includes Field-Weighted Citation Impact (FWCI), citation counts, publication output over time, international collaboration rates, and the share of publications in top citation percentiles). Then add extra analyses (if they apply to you) such as Publications by Journal Quartile, or Scholarly Output in Policy / or Patents and Academic/ Corporate Collaboration.

See an example report: 

 

What is it? Dimensions is a research analytics platform and database from Digital Science that integrates data from publications, grants, patents, clinical trials, and policy documents.

Why use it? Dimensions can help you track output, citation impact, funding, and societal influence through key metrics like Field Citation Ratio (FCR), Relative Citation Ratio (RCR), and Altmetric Attention Score. Dimensions also supports VOSviewer visualisations, enabling you to visually explore research themes, collaborations, and citation networks for strategic insights.

Responsible Metrics

It is important to use metrics responsibly to ensure transparency, context, and the avoidance of bias.

DORA's (San Francisco Declaration on Research Assessment) New Guidance on Research Indicators (2024) outlines five key principles for using metrics responsibly:

  1. Be Clear: Define what each metric measures.
  2. Be Transparent: Ensure transparency in metric calculation and use.
  3. Be Specific: Use metrics relevant to the research context.
  4. Be Contextual: Consider the context of metric application.
  5. Be Fair: Avoid biases and distortions in metric use.

Licensing

This work in this guide is licensed under a Creative Commons Attribution 4.0 International License.