literature-review

Automate systematic literature reviews by using Python scripts to query multiple academic databases like PubMed and arXiv, extracting study data, and synthesizing findings thematically to ensure comprehensive coverage and reproducible research outputs.

The best way to extract data and verify citations for research synthesis is to automate the workflow using scripts that query academic APIs. This ensures accurate citation management and professional formatting in markdown and PDF outputs.

Yes, this skill supports searching PubMed and arXiv via external APIs. It integrates with multiple academic databases to automate search strategy development, data extraction, and thematic synthesis for comprehensive literature reviews.

Generate a literature review PDF with verified citations by running Python scripts that use pandoc and xelatex dependencies. The process compiles extracted academic data into professional markdown documents and PDFs with accurate citation formatting.

Yes, you need pandoc and xelatex installed as dependencies to generate systematic review PDFs. These tools are required to convert markdown documents into high-quality PDF outputs with verified citations in various academic styles.

Yes, you can use this skill to compile a literature review section for a grant proposal. It automates finding relevant papers, extracting key methodologies and findings, and compiling a draft review with professionally verified citations.