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paper-select-journal

Recommends SCI journals for manuscripts using impact factor filtering and PubMed evidence.

2.7k|251|Updated Feb 12, 2024
Search Tags:#recommendation#manuscript#pubmed#journal selection#sci#impact factor#Academic writing
One-click install
npx skills add https://github.com/huangwb8/ChineseResearchLaTeX --skill paper-select-journal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: paper-select-journal
Source: https://github.com/huangwb8/ChineseResearchLaTeX/tree/main/skills/paper-select-journal
Command: npx skills add https://github.com/huangwb8/ChineseResearchLaTeX --skill paper-select-journal

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openpyxl, pyyaml, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

Choosing the right SCI journal for a manuscript is time-consuming and error-prone: high impact factor does not guarantee scope fit, and predatory or warned journals are hard to spot manually. This Skill turns a manuscript plus your preferences into an evidence-backed, ranked journal recommendation report.

Core Features & Use Cases

  • Manuscript Profiling: Reads full text, abstract, Markdown, LaTeX, PDF, or Word input and builds a structured manuscript profile capturing topic, methods, and target audience.
  • Multi-Stage Screening: Filters a built-in 2023IF.xlsx journal catalog by impact factor and exclusions (Set1), verifies scope, CAS quartile, and predatory-warning signals online (Set2), then fetches the last 3 months of PubMed articles per journal for AI relevance judgment (Set3).
  • Ranked Markdown Report: Outputs up to 10 journals with impact factor, CAS category and quartile, recognition, official website, recommendation reasons, and recent similar papers with relevance notes.
  • Use Case: A researcher with a finished oncology manuscript asks for journals with fast review and no predatory risk; the Skill screens the catalog, verifies candidates online, checks recent PubMed publications, and delivers a single ranked Markdown report.

Quick Start

Use the paper-select-journal skill to recommend suitable SCI journals for my manuscript file, respecting my preference for fast review and no predatory journals, and output a ranked Markdown report of at most 10 journals.

Frequently Asked Questions about paper-select-journal

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get journal recommendations for my manuscript?▼

Provide your manuscript as pasted text or a .md, .tex, .pdf, or .docx file plus any preferences, and ask for journal selection. The Skill builds a manuscript profile, filters the built-in 2023IF.xlsx catalog, verifies candidates online, and outputs a ranked Markdown report.

How does the skill decide which journals to recommend?▼

It runs three stages: Set1 applies minimal hard filters like impact factor threshold and exclusions against the 2023IF.xlsx catalog, Set2 verifies scope, CAS quartile, and predatory signals online, and Set3 uses AI semantic judgment on the last 3 months of PubMed articles per journal.

Does the journal selection require an external AI API?▼

No external AI API is needed. Semantic judgments such as Set3 similarity review are performed natively by the host model running the skill, for example the current Claude Code or Codex session, using the manuscript profile and fetched PubMed evidence.

Can I exclude specific journals or set a minimum impact factor?▼

Yes. The manuscript profile supports excluded_journals and target_if_min fields, and the screening config enforces a default minimum impact factor of 3.0. Low-IF manual exceptions are allowed only with a written justification in the final report.

Why does the skill check PubMed articles from the last 3 months?▼

Recent PubMed articles verify whether a journal is actively publishing similar topics, which is more reliable than scope text alone. The fetch_pubmed_recent.py script retrieves the articles, and the host AI judges their semantic relevance to your manuscript.

What are the limitations of this journal selection approach?▼

It relies on the 2023 impact factor catalog, so newer metrics are not included, and journals poorly indexed in PubMed may show little recent evidence. It is not intended for polishing manuscripts, translating abstracts, or looking up a single journal's website.

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