What metrics would you use to evaluate Elsevier's Scopus database?

Introduction

Evaluating Elsevier's Scopus database requires a comprehensive approach to product success metrics. To address this challenge effectively, I'll follow a structured framework covering core metrics, supporting indicators, and risk factors while considering all key stakeholders. This approach will help us assess the database's performance, user satisfaction, and business impact.

Step 1

Product Context

Elsevier's Scopus is a comprehensive abstract and citation database of peer-reviewed literature, including scientific journals, books, and conference proceedings. It serves as a critical research tool for academics, researchers, and institutions worldwide.

Key stakeholders include:

1. Researchers and academics: Seeking comprehensive, high-quality literature for their work
2. Academic institutions: Evaluating research output and impact
3. Publishers: Aiming for visibility and citations for their journals
4. Elsevier: Generating revenue and maintaining market leadership

User flow typically involves:

1. Search: Users enter keywords, author names, or other criteria
2. Results review: Scanning abstracts, citations, and metadata
3. Refinement: Filtering results by year, subject area, or document type
4. Access: Retrieving full-text articles (when available) or locating sources

Scopus fits into Elsevier's broader strategy of providing comprehensive research solutions and maintaining its position as a leading academic publisher. Compared to competitors like Web of Science or Google Scholar, Scopus offers a balance of broad coverage and curated content.

In terms of product lifecycle, Scopus is in the maturity stage, having been established in 2004. However, continuous updates and feature additions keep it relevant in the evolving research landscape.