research-impact

What problem does it solve?

This Skill helps you measure and compare research impact across fields and venues by computing field-normalized citation indicators, journal impact metrics, and altmetric attention signals.

Core Features & Use Cases

• Field-normalized citation indicators: Compute metrics like FWCI/MNCS using field×year citation baselines, plus percentile-based “top 10%” assessments.
• Journal-level impact analysis: Estimate journal impact factor-like metrics and provide ranking signals for journals, including a simplified eigenfactor-style approach.
• Altmetrics and online attention: Retrieve or approximate Altmetric scores (with an API lookup option) and analyze how online attention correlates with citations.
• Institutional benchmarking: Produce Leiden-style indicators using fractional counting and compare research performance across departments or universities.
• Use Case: You have publication-level data for multiple departments and years; use this Skill to generate a normalized impact report that identifies which groups outperform their field baselines and whether open access or online attention is associated with higher impact.

Quick Start

Use the research-impact skill to compute field-weighted citation impact (FWCI), top-10% percentile indicators, and an altmetrics-vs-citations correlation for your publication dataset.