Top-Journal Reviewer Level: 5-Minute Single-Paper Deep Dive
Upload an English paper PDF → send the reviewer-angle prompt → receive a five-dimension breakdown: gap, novelty, evidence, mechanism, and limitations
- Who
- Researchers, graduate students, or practitioners who need rapid, in-depth understanding of a single English academic paper
- You get
- A reviewer-perspective five-dimension analysis: target gap, core novelty, key data, underlying mechanism, and potential weaknesses
- You need
- ChatGPT · NotebookLM
Constraints
Prerequisites: a PDF of the target English paper; access to Claude, ChatGPT, or NotebookLM. Cost: billed per each platform's subscription or free-tier limits; no additional fees stated by source. Limitations: prompt designed for single-paper analysis; cross-paper comparison or review generation not provided. Output quality depends on the model's PDF parsing capability.
What they did
Author @Laxus_9527 posted a single-post template on X: for an English paper PDF, use a specific prompt to make AI act as a top-journal reviewer for a five-dimension breakdown. The full prompt was published as an image in a self-reply (photo/1), verified complete via OCR transcription with no missing segments.
How it went
Source provides no concrete output example or effect validation (author_report missing). The post only describes usage, with no reported test cases or output quality assessment.
Worth knowing
The prompt asks the model to extract specific numbers, Figure numbers, and other details, but actual output accuracy depends on the model's PDF parsing capability; manual verification of key data is advised. Source does not mention applicability to non-English papers; the prompt is designed for English literature. NotebookLM's PDF processing differs from Claude/ChatGPT, so the same prompt may yield different results across platforms. Source does not state whether this prompt has been iteratively optimized or adapted for different disciplines.
Steps
Before the first real run
Before the first real run, test with sample data and confirm with a human before any send/write/delete to external systems.
Prepare and upload the paper PDF
In the chat interface of Claude, ChatGPT, or NotebookLM, upload the English paper PDF you want to analyze. Ensure the file is text-parseable (scanned or image-based PDFs may affect text extraction).
Send the reviewer breakdown prompt
Paste and send the following prompt in full. It instructs the AI to act as a Nature/Science sub-journal senior reviewer and analyze the paper across five dimensions, rejecting generic summaries.
Execution prompt · Source text。Chat input field in Claude / ChatGPT / NotebookLM
【Prompt 指令】 你现在是 Nature / Science 子刊级别的资深审稿人。请仔细阅读这篇文献,拒绝笼统的“摘要式废话”,直接用精准、直白的话回答以下 5 个问题: 1. 🎯 靶点与痛点 (The Gap) • 作者到底想解决什么具体的科学或行业痛点? • 在本文之前,主流方法卡在什么瓶颈上(为什么老办法不行)? 2. 💡 核心破局点 (The Novelty) • 本文最本质的创新点是什么?(新材料体系 / 新制备工艺 / 新表征手段 / 新机理?) • 和前人工作相比,最关键的“变量差异”在哪里? 3. 📊 铁证数据与核心图表 (Key Evidence) • 核心性能指标具体提升到了多少?(提取具体数值并与对照组对比) • 全文哪 1–2 张图(标明 Figure 编号)是支撑结论的“生死线”?分别证明了什么? 4. ⚙️ 一句话底层机理 (Mechanism) • 请用跨学科研究者也能听懂的物理/化学图景,大白话解释:“为什么作者的方法能行得通?” 5. ⚠️ 审稿人挑刺 (Limitations) • 站在挑剔审稿人的角度,这项工作有什么未解决的缺陷或刻意弱化的短板?(如成本、规模化难度、长循环稳定性或反常数据)
Prompt you can copy
Setup guidance · Source text。Give to setup assistant to help user understand prerequisites and prepare for execution
This block is the prompt. Ads are never placed here.
【Prompt 指令】 你现在是 Nature / Science 子刊级别的资深审稿人。请仔细阅读这篇文献,拒绝笼统的“摘要式废话”,直接用精准、直白的话回答以下 5 个问题: 1. 🎯 靶点与痛点 (The Gap) • 作者到底想解决什么具体的科学或行业痛点? • 在本文之前,主流方法卡在什么瓶颈上(为什么老办法不行)? 2. 💡 核心破局点 (The Novelty) • 本文最本质的创新点是什么?(新材料体系 / 新制备工艺 / 新表征手段 / 新机理?) • 和前人工作相比,最关键的“变量差异”在哪里? 3. 📊 铁证数据与核心图表 (Key Evidence) • 核心性能指标具体提升到了多少?(提取具体数值并与对照组对比) • 全文哪 1–2 张图(标明 Figure 编号)是支撑结论的“生死线”?分别证明了什么? 4. ⚙️ 一句话底层机理 (Mechanism) • 请用跨学科研究者也能听懂的物理/化学图景,大白话解释:“为什么作者的方法能行得通?” 5. ⚠️ 审稿人挑刺 (Limitations) • 站在挑剔审稿人的角度,这项工作有什么未解决的缺陷或刻意弱化的短板?(如成本、规模化难度、长循环稳定性或反常数据)
This prompt is a setup guide, not a runtime instruction. For actual execution, use the source prompt in Step 2.
Source
(中文)上传英文文献 PDF,让 AI 以顶刊审稿人身份 5 问拆解:痛点、创新、证据、机理、短板 · Laxus_9527 · X · 2026-10-19T06:03:21.000Z
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