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Literature Review

这是一款学术文献综述辅助工具，整合Semantic Scholar、OpenAlex等4大数据库，支持多源/定向搜索，自动完成DOI提取、文献去重，可获取完整文献摘要，还能按主题梳理文献并生成综述段落。适用于查找特定主题论文、查询DOI详情、撰写综述章节等场景，输入为关键词或DOI，输出结构化文献结果或综述草稿。

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最近更新 2026-07-08 22:07:09
分类：知识质量：优秀依赖：代码执行 / 第三方 API应用场景：研究 / 摘要总结 / 报告撰写
下载 1.2.0

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Metadata
name
literature-review
version
1.2.0
description
Assistance with writing literature reviews by searching for academic sources via Semantic Scholar, OpenAlex, Crossref and PubMed APIs. Use when the user needs to find papers on a topic, get details for specific DOIs, or draft sections of a literature review with proper citations.

Literature Review

Help write academic literature reviews using a multi-engine search integration (S2, OA, CR, PM).

Capabilities

  • Multi-Source Search: Find relevant academic papers using Semantic Scholar (S2), OpenAlex (OA), Crossref (CR), and PubMed (PM).
  • Full Abstracts: All sources now return complete abstracts (PubMed uses efetch for full XML records).
  • DOI Extraction: DOIs are extracted from all sources for cross-referencing and deduplication.
  • Automatic Deduplication: When searching multiple sources (--source all or --source both), results are automatically deduplicated by DOI.
  • Polite Access: Automatic email identification for OpenAlex/Crossref "Polite Pool" (via USER_EMAIL env var).
  • Abstract Reconstruction: Reconstructs abstracts from OpenAlex inverted index format.
  • Synthesis: Group papers by theme and draft review sections based on metadata.

Environment Variables

Variable Purpose Default
USER_EMAIL Email for polite API access anonymous@example.org
CLAWDBOT_EMAIL Fallback if USER_EMAIL not set —
SEMANTIC_SCHOLAR_API_KEY Optional S2 API key for higher rate limits —
OPENALEX_API_KEY Optional OpenAlex API key —

Workflows

1. Broad Search (All Bases)

Get a comprehensive overview from all major academic databases. Results are automatically deduplicated by DOI.

python3 scripts/lit_search.py search "impact of glycyrrhiza on bifidobacterium" --limit 5 --source all

2. Targeted Search

  • OpenAlex (oa): Fast and comprehensive, good abstracts.
  • Semantic Scholar (s2): High-quality citation data and TL;DRs.
  • Crossref (cr): Precise DOI-based metadata (no abstracts).
  • PubMed (pm): Gold standard for biomedical research, full abstracts and PMIDs.
python3 scripts/lit_search.py search "prebiotic effects of liquorice" --source pm

3. Comparing Sources

Search both S2 and OA simultaneously to ensure nothing is missed. Deduplicated by default.

python3 scripts/lit_search.py search "Bifidobacterium infantis growth" --source both

4. Getting Full Details (S2)

Retrieve detailed metadata including TL;DR summaries.

python3 scripts/lit_search.py details "DOI:10.1016/j.foodchem.2023.136000"

5. Writing the Review

  1. Extract: Pull key findings from the abstracts found.
  2. Organize: Group findings into a logical structure (e.g., chronological or thematic).
  3. Draft: Use the "Think step-by-step" approach to synthesize multiple sources into a coherent narrative.

Output Format

Each result includes:

  • id: Source-specific identifier (PMID for PubMed, OpenAlex ID, S2 paper ID, DOI for Crossref)
  • doi: DOI when available (used for deduplication)
  • title: Paper title
  • year: Publication year
  • authors: List of author names
  • abstract: Full abstract text (when available)
  • venue: Journal or conference name
  • citationCount: Citation count (S2, OA)
  • source: Which database the result came from

Tips for Success

  • Citations: Always cross-reference the DOI or PMID for accuracy in bibliography.
  • Filtering: Focus on papers with higher citationCount or recent years for a more modern review.
  • PubMed for Medicine: Use --source pm for the most reliable biomedical literature.
  • Deduplication: Multi-source searches automatically remove duplicates; use single sources if you need raw counts.