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Literature Review

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.
通过Semantic Scholar、OpenAlex、Crossref和PubMed API搜索学术资源,协助撰写文献综述。当用户需要查找特定主题论文、获取DOI详情或撰写带引用的综述章节时使用。
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内容创作 clawhub v1.2.0 1 版本 94428 Key: 无需
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概述

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

VariablePurposeDefault
----------------------------
USER_EMAILEmail for polite API accessanonymous@example.org
CLAWDBOT_EMAILFallback if USER_EMAIL not set
SEMANTIC_SCHOLAR_API_KEYOptional S2 API key for higher rate limits
OPENALEX_API_KEYOptional 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.

版本历史

共 1 个版本

  • v1.2.0 当前
    2026-03-27 23:57 安全 安全

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