scientific-writing
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ChineseScientific Writing
科学写作
Overview
概述
Scientific writing is a process for communicating research with precision and clarity. Write manuscripts using IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, and reporting guidelines (CONSORT/STROBE/PRISMA). Apply this skill for research papers and journal submissions.
科学写作是一种精准、清晰地传达研究成果的过程。可按照IMRAD结构、引用格式(APA/AMA/Vancouver)、图表规范及报告指南(CONSORT/STROBE/PRISMA)来撰写手稿,该技能适用于研究论文撰写与期刊投稿场景。
When to Use This Skill
适用场景
This skill should be used when:
- Writing or revising any section of a scientific manuscript (abstract, introduction, methods, results, discussion)
- Structuring a research paper using IMRAD or other standard formats
- Formatting citations and references in specific styles (APA, AMA, Vancouver, Chicago, IEEE)
- Creating, formatting, or improving figures, tables, and data visualizations
- Applying study-specific reporting guidelines (CONSORT for trials, STROBE for observational studies, PRISMA for reviews)
- Drafting abstracts that meet journal requirements (structured or unstructured)
- Preparing manuscripts for submission to specific journals
- Improving writing clarity, conciseness, and precision
- Ensuring proper use of field-specific terminology and nomenclature
- Addressing reviewer comments and revising manuscripts
在以下场景中可使用本技能:
- 撰写或修改科学手稿的任意章节(摘要、引言、方法、结果、讨论)
- 采用IMRAD或其他标准格式构建研究论文结构
- 按照特定格式(APA、AMA、Vancouver、Chicago、IEEE)排版引用与参考文献
- 创建、排版或优化图表及数据可视化内容
- 遵循研究特定的报告指南(如试验研究遵循CONSORT,观察性研究遵循STROBE,综述研究遵循PRISMA)
- 撰写符合期刊要求的摘要(结构化或非结构化)
- 准备目标期刊的投稿手稿
- 提升写作的清晰度、简洁性与精准度
- 确保专业领域术语与命名规范的正确使用
- 回应审稿意见并修改手稿
Core Capabilities
核心能力
1. Manuscript Structure and Organization
1. 手稿结构与组织
IMRAD Format: Guide papers through the standard Introduction, Methods, Results, And Discussion structure used across most scientific disciplines. This includes:
- Introduction: Establish research context, identify gaps, state objectives
- Methods: Detail study design, populations, procedures, and analysis approaches
- Results: Present findings objectively without interpretation
- Discussion: Interpret results, acknowledge limitations, propose future directions
For detailed guidance on IMRAD structure, refer to .
references/imrad_structure.mdAlternative Structures: Support discipline-specific formats including:
- Review articles (narrative, systematic, scoping)
- Case reports and case series
- Meta-analyses and pooled analyses
- Theoretical/modeling papers
- Methods papers and protocols
IMRAD格式:指导论文采用大多数科学领域通用的标准引言(Introduction)、方法(Methods)、结果(Results)、讨论(Discussion)结构。具体包括:
- 引言:确立研究背景,指出研究空白,阐明研究目标
- 方法:详细描述研究设计、研究对象、实验流程及分析方法
- 结果:客观呈现研究发现,不加入主观解读
- 讨论:解读研究结果,说明研究局限性,提出未来研究方向
如需了解IMRAD结构的详细指南,可参考。
references/imrad_structure.md替代结构:支持各学科特定的论文格式,包括:
- 综述文章(叙述性综述、系统综述、范围综述)
- 病例报告与病例系列
- 荟萃分析与合并分析
- 理论/建模论文
- 方法学论文与研究方案
2. Section-Specific Writing Guidance
2. 分章节写作指导
Abstract Composition: Craft concise, standalone summaries (100-250 words) that capture the paper's purpose, methods, results, and conclusions. Support both structured abstracts (with labeled sections) and unstructured single-paragraph formats.
Introduction Development: Build compelling introductions that:
- Establish the research problem's importance
- Review relevant literature systematically
- Identify knowledge gaps or controversies
- State clear research questions or hypotheses
- Explain the study's novelty and significance
Methods Documentation: Ensure reproducibility through:
- Detailed participant/sample descriptions
- Clear procedural documentation
- Statistical methods with justification
- Equipment and materials specifications
- Ethical approval and consent statements
Results Presentation: Present findings with:
- Logical flow from primary to secondary outcomes
- Integration with figures and tables
- Statistical significance with effect sizes
- Objective reporting without interpretation
Discussion Construction: Synthesize findings by:
- Relating results to research questions
- Comparing with existing literature
- Acknowledging limitations honestly
- Proposing mechanistic explanations
- Suggesting practical implications and future research
摘要撰写:撰写简洁、独立的摘要(100-250词),涵盖研究目的、方法、结果与结论。支持结构化摘要(带标注章节)与非结构化单段落摘要两种格式。
引言撰写:构建有说服力的引言,需做到:
- 明确研究问题的重要性
- 系统梳理相关文献
- 指出知识空白或争议点
- 清晰提出研究问题或假设
- 说明研究的创新性与意义
方法部分撰写:通过以下内容确保研究可重复性:
- 详细描述研究对象/样本
- 清晰记录实验流程
- 说明统计方法并给出依据
- 明确实验设备与材料规格
- 提及伦理审批与知情同意声明
结果部分呈现:通过以下方式呈现研究结果:
- 按照从主要结果到次要结果的逻辑顺序展示
- 与图表内容相结合
- 标注统计显著性与效应量
- 客观报告,不加入主观解读
讨论部分构建:通过以下方式整合研究发现:
- 将结果与研究问题关联
- 与现有文献进行对比
- 坦诚说明研究局限性
- 提出机制性解释
- 建议实际应用方向与未来研究方向
3. Citation and Reference Management
3. 引用与参考文献管理
Apply citation styles correctly across disciplines. For comprehensive style guides, refer to .
references/citation_styles.mdMajor Citation Styles:
- AMA (American Medical Association): Numbered superscript citations, common in medicine
- Vancouver: Numbered citations in square brackets, biomedical standard
- APA (American Psychological Association): Author-date in-text citations, common in social sciences
- Chicago: Notes-bibliography or author-date, humanities and sciences
- IEEE: Numbered square brackets, engineering and computer science
Best Practices:
- Cite primary sources when possible
- Include recent literature (last 5-10 years for active fields)
- Balance citation distribution across introduction and discussion
- Verify all citations against original sources
- Use reference management software (Zotero, Mendeley, EndNote)
正确应用各学科的引用格式。如需完整的格式指南,可参考。
references/citation_styles.md主要引用格式:
- AMA(美国医学协会)格式:上标数字引用,常见于医学领域
- Vancouver格式:方括号内数字引用,生物医学领域标准格式
- APA(美国心理协会)格式:作者-年份文内引用,常见于社会科学领域
- Chicago格式:注释-参考文献或作者-年份格式,适用于人文与科学领域
- IEEE格式:方括号内数字引用,适用于工程与计算机科学领域
最佳实践:
- 尽可能引用原始文献
- 纳入近期文献(活跃领域建议引用近5-10年的文献)
- 平衡引言与讨论部分的引用分布
- 核对所有引用与原始文献的一致性
- 使用参考文献管理软件(Zotero、Mendeley、EndNote)
4. Figures and Tables
4. 图表制作
Create effective data visualizations that enhance comprehension. For detailed best practices, refer to .
references/figures_tables.mdWhen to Use Tables vs. Figures:
- Tables: Precise numerical data, complex datasets, multiple variables requiring exact values
- Figures: Trends, patterns, relationships, comparisons best understood visually
Design Principles:
- Make each table/figure self-explanatory with complete captions
- Use consistent formatting and terminology across all display items
- Label all axes, columns, and rows with units
- Include sample sizes (n) and statistical annotations
- Follow the "one table/figure per 1000 words" guideline
- Avoid duplicating information between text, tables, and figures
Common Figure Types:
- Bar graphs: Comparing discrete categories
- Line graphs: Showing trends over time
- Scatterplots: Displaying correlations
- Box plots: Showing distributions and outliers
- Heatmaps: Visualizing matrices and patterns
创建能提升内容理解度的有效数据可视化作品。如需详细的最佳实践指南,可参考。
references/figures_tables.md表格与图表的适用场景:
- 表格:用于呈现精准的数值数据、复杂数据集、需要精确值的多变量数据
- 图表:用于展示趋势、模式、关系、更适合可视化对比的内容
设计原则:
- 每个表格/图表需配有完整说明,确保可独立理解
- 所有展示内容使用统一的格式与术语
- 为所有坐标轴、列、行标注单位
- 标注样本量(n)与统计注释
- 遵循“每1000字配1个表格/图表”的指南
- 避免在正文、表格与图表之间重复信息
常见图表类型:
- 柱状图:对比离散类别
- 折线图:展示随时间变化的趋势
- 散点图:呈现相关性
- 箱线图:展示分布与异常值
- 热图:可视化矩阵与模式
5. Reporting Guidelines by Study Type
5. 按研究类型分类的报告指南
Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to .
references/reporting_guidelines.mdKey Guidelines:
- CONSORT: Randomized controlled trials
- STROBE: Observational studies (cohort, case-control, cross-sectional)
- PRISMA: Systematic reviews and meta-analyses
- STARD: Diagnostic accuracy studies
- TRIPOD: Prediction model studies
- ARRIVE: Animal research
- CARE: Case reports
- SQUIRE: Quality improvement studies
- SPIRIT: Study protocols for clinical trials
- CHEERS: Economic evaluations
Each guideline provides checklists ensuring all critical methodological elements are reported.
遵循既定的报告标准,确保内容完整与透明。如需完整的指南细节,可参考。
references/reporting_guidelines.md核心指南:
- CONSORT:随机对照试验
- STROBE:观察性研究(队列研究、病例对照研究、横断面研究)
- PRISMA:系统综述与荟萃分析
- STARD:诊断准确性研究
- TRIPOD:预测模型研究
- ARRIVE:动物研究
- CARE:病例报告
- SQUIRE:质量改进研究
- SPIRIT:临床试验研究方案
- CHEERS:经济评价研究
每个指南都提供检查清单,确保所有关键方法学要素均被报告。
6. Writing Principles and Style
6. 写作原则与风格
Apply fundamental scientific writing principles. For detailed guidance, refer to .
references/writing_principles.mdClarity:
- Use precise, unambiguous language
- Define technical terms and abbreviations at first use
- Maintain logical flow within and between paragraphs
- Use active voice when appropriate for clarity
Conciseness:
- Eliminate redundant words and phrases
- Favor shorter sentences (15-20 words average)
- Remove unnecessary qualifiers
- Respect word limits strictly
Accuracy:
- Report exact values with appropriate precision
- Use consistent terminology throughout
- Distinguish between observations and interpretations
- Acknowledge uncertainty appropriately
Objectivity:
- Present results without bias
- Avoid overstating findings or implications
- Acknowledge conflicting evidence
- Maintain professional, neutral tone
遵循基础的科学写作原则。如需详细指导,可参考。
references/writing_principles.md清晰性:
- 使用精准、无歧义的语言
- 首次使用时定义技术术语与缩写
- 保持段落内部与段落之间的逻辑连贯性
- 适当使用主动语态以提升清晰度
简洁性:
- 删除冗余的词汇与短语
- 偏好短句(平均15-20词)
- 移除不必要的限定词
- 严格遵守字数限制
准确性:
- 报告精确值并采用合适的精度
- 全文使用统一的术语
- 区分观察结果与解读内容
- 适当说明不确定性
客观性:
- 无偏见地呈现结果
- 避免夸大研究发现或意义
- 承认矛盾的证据
- 保持专业、中立的语气
7. Journal-Specific Formatting
7. 期刊特定格式要求
Adapt manuscripts to journal requirements:
- Follow author guidelines for structure, length, and format
- Apply journal-specific citation styles
- Meet figure/table specifications (resolution, file formats, dimensions)
- Include required statements (funding, conflicts of interest, data availability, ethical approval)
- Adhere to word limits for each section
- Format according to template requirements when provided
根据期刊要求调整手稿:
- 遵循作者指南中的结构、篇幅与格式要求
- 应用期刊特定的引用格式
- 满足图表规格要求(分辨率、文件格式、尺寸)
- 包含所需声明(资助信息、利益冲突、数据可用性、伦理审批)
- 遵守各章节的字数限制
- 提供模板时按照模板要求排版
8. Field-Specific Language and Terminology
8. 领域特定语言与术语
Adapt language, terminology, and conventions to match the specific scientific discipline. Each field has established vocabulary, preferred phrasings, and domain-specific conventions that signal expertise and ensure clarity for the target audience.
Identify Field-Specific Linguistic Conventions:
- Review terminology used in recent high-impact papers in the target journal
- Note field-specific abbreviations, units, and notation systems
- Identify preferred terms (e.g., "participants" vs. "subjects," "compound" vs. "drug," "specimens" vs. "samples")
- Observe how methods, organisms, or techniques are typically described
Biomedical and Clinical Sciences:
- Use precise anatomical and clinical terminology (e.g., "myocardial infarction" not "heart attack" in formal writing)
- Follow standardized disease nomenclature (ICD, DSM, SNOMED-CT)
- Specify drug names using generic names first, brand names in parentheses if needed
- Use "patients" for clinical studies, "participants" for community-based research
- Follow Human Genome Variation Society (HGVS) nomenclature for genetic variants
- Report lab values with standard units (SI units in most international journals)
Molecular Biology and Genetics:
- Use italics for gene symbols (e.g., TP53), regular font for proteins (e.g., p53)
- Follow species-specific gene nomenclature (uppercase for human: BRCA1; sentence case for mouse: Brca1)
- Specify organism names in full at first mention, then use accepted abbreviations (e.g., Escherichia coli, then E. coli)
- Use standard genetic notation (e.g., +/+, +/-, -/- for genotypes)
- Employ established terminology for molecular techniques (e.g., "quantitative PCR" or "qPCR," not "real-time PCR")
Chemistry and Pharmaceutical Sciences:
- Follow IUPAC nomenclature for chemical compounds
- Use systematic names for novel compounds, common names for well-known substances
- Specify chemical structures using standard notation (e.g., SMILES, InChI for databases)
- Report concentrations with appropriate units (mM, μM, nM, or % w/v, v/v)
- Describe synthesis routes using accepted reaction nomenclature
- Use terms like "bioavailability," "pharmacokinetics," "IC50" consistently with field definitions
Ecology and Environmental Sciences:
- Use binomial nomenclature for species (italicized: Homo sapiens)
- Specify taxonomic authorities at first species mention when relevant
- Employ standardized habitat and ecosystem classifications
- Use consistent terminology for ecological metrics (e.g., "species richness," "Shannon diversity index")
- Describe sampling methods with field-standard terms (e.g., "transect," "quadrat," "mark-recapture")
Physics and Engineering:
- Follow SI units consistently unless field conventions dictate otherwise
- Use standard notation for physical quantities (scalars vs. vectors, tensors)
- Employ established terminology for phenomena (e.g., "quantum entanglement," "laminar flow")
- Specify equipment with model numbers and manufacturers when relevant
- Use mathematical notation consistent with field standards (e.g., ℏ for reduced Planck constant)
Neuroscience:
- Use standardized brain region nomenclature (e.g., refer to atlases like Allen Brain Atlas)
- Specify coordinates for brain regions using established stereotaxic systems
- Follow conventions for neural terminology (e.g., "action potential" not "spike" in formal writing)
- Use "neural activity," "neuronal firing," "brain activation" appropriately based on measurement method
- Describe recording techniques with proper specificity (e.g., "whole-cell patch clamp," "extracellular recording")
Social and Behavioral Sciences:
- Use person-first language when appropriate (e.g., "people with schizophrenia" not "schizophrenics")
- Employ standardized psychological constructs and validated assessment names
- Follow APA guidelines for reducing bias in language
- Specify theoretical frameworks using established terminology
- Use "participants" rather than "subjects" for human research
General Principles:
Match Audience Expertise:
- For specialized journals: Use field-specific terminology freely, define only highly specialized or novel terms
- For broad-impact journals (e.g., Nature, Science): Define more technical terms, provide context for specialized concepts
- For interdisciplinary audiences: Balance precision with accessibility, define terms at first use
Define Technical Terms Strategically:
- Define abbreviations at first use: "messenger RNA (mRNA)"
- Provide brief explanations for specialized techniques when writing for broader audiences
- Avoid over-defining terms well-known to the target audience (signals unfamiliarity with field)
- Create a glossary if numerous specialized terms are unavoidable
Maintain Consistency:
- Use the same term for the same concept throughout (don't alternate between "medication," "drug," and "pharmaceutical")
- Follow a consistent system for abbreviations (decide on "PCR" or "polymerase chain reaction" after first definition)
- Apply the same nomenclature system throughout (especially for genes, species, chemicals)
Avoid Field Mixing Errors:
- Don't use clinical terminology for basic science (e.g., don't call mice "patients")
- Avoid colloquialisms or overly general terms in place of precise field terminology
- Don't import terminology from adjacent fields without ensuring proper usage
Verify Terminology Usage:
- Consult field-specific style guides and nomenclature resources
- Check how terms are used in recent papers from the target journal
- Use domain-specific databases and ontologies (e.g., Gene Ontology, MeSH terms)
- When uncertain, cite a key reference that establishes terminology
调整语言、术语与惯例以匹配特定科学学科。每个学科都有既定的词汇、偏好表达方式与领域特定惯例,这些内容可体现专业性并确保目标受众理解。
识别领域特定语言惯例:
- 查阅目标期刊近期高影响力论文中使用的术语
- 记录领域特定的缩写、单位与符号系统
- 确定偏好术语(如“研究对象”vs“受试者”,“化合物”vs“药物”,“标本”vs“样本”)
- 观察方法、生物或技术的典型描述方式
生物医学与临床医学:
- 使用精准的解剖学与临床医学术语(如正式写作中使用“心肌梗死”而非“心脏病发作”)
- 遵循标准化疾病命名法(ICD、DSM、SNOMED-CT)
- 先使用通用药物名称,必要时在括号内标注品牌名称
- 临床研究中使用“患者”,社区研究中使用“研究对象”
- 遵循人类基因组变异协会(HGVS)的基因变异命名法
- 按照标准单位报告实验室数值(多数国际期刊使用SI单位)
分子生物学与遗传学:
- 基因符号使用斜体(如TP53),蛋白质使用正体(如p53)
- 遵循物种特定的基因命名法(人类基因使用大写:BRCA1;小鼠基因使用句首大写:Brca1)
- 首次提及物种时使用全称,之后使用公认缩写(如Escherichia coli,之后使用E. coli)
- 使用标准遗传符号(如+/+、+/-、-/-表示基因型)
- 采用分子技术的既定术语(如“定量PCR”或“qPCR”,而非“实时PCR”)
化学与药学:
- 遵循IUPAC化合物命名法
- 新型化合物使用系统名称,知名物质使用通用名称
- 使用标准符号表示化学结构(如SMILES、InChI用于数据库)
- 采用合适单位报告浓度(mM、μM、nM或% w/v、v/v)
- 使用公认的反应命名法描述合成路线
- 按照领域定义一致使用“生物利用度”、“药代动力学”、“IC50”等术语
生态学与环境科学:
- 物种使用双名法(斜体:Homo sapiens)
- 相关情况下首次提及物种时注明分类权威
- 采用标准化栖息地与生态系统分类
- 一致使用生态指标术语(如“物种丰富度”、“香农多样性指数”)
- 使用领域标准术语描述采样方法(如“样带”、“样方”、“标记重捕法”)
物理学与工程学:
- 始终遵循SI单位,除非领域惯例另有规定
- 物理量使用标准符号(标量vs矢量、张量)
- 采用现象的既定术语(如“量子纠缠”、“层流”)
- 必要时注明设备型号与制造商
- 使用符合领域标准的数学符号(如ℏ表示约化普朗克常数)
神经科学:
- 使用标准化脑区命名法(如参考Allen Brain Atlas等图谱)
- 使用既定的立体定位系统注明脑区坐标
- 遵循神经学术语惯例(如正式写作中使用“动作电位”而非“尖峰信号”)
- 根据测量方法适当使用“神经活动”、“神经元放电”、“大脑激活”等术语
- 详细描述记录技术(如“全细胞膜片钳”、“细胞外记录”)
社会与行为科学:
- 适当使用“以人为本”的语言(如“精神分裂症患者”而非“精神分裂症病人”)
- 采用标准化心理构念与经过验证的评估工具名称
- 遵循APA减少语言偏见的指南
- 使用既定术语说明理论框架
- 人类研究中使用“研究对象”而非“受试者”
通用原则:
匹配受众专业水平:
- 专业期刊:可自由使用领域特定术语,仅定义高度专业或新颖的术语
- 高影响力综合期刊(如Nature、Science):定义更多技术术语,为专业概念提供背景
- 跨学科受众:平衡精准性与易懂性,首次使用时定义术语
战略性定义技术术语:
- 首次使用时定义缩写:“信使RNA(mRNA)”
- 面向广泛受众写作时,为专业技术提供简要解释
- 避免过度定义目标受众熟知的术语(会显得对领域不熟悉)
- 若存在大量专业术语,可创建术语表
保持一致性:
- 同一概念使用同一术语(不要交替使用“药物”、“药剂”与“制药”)
- 采用一致的缩写系统(首次定义后,统一使用“PCR”或“聚合酶链式反应”)
- 全文采用同一命名系统(尤其是基因、物种、化学物质)
避免跨领域术语误用:
- 不要将临床术语用于基础科学研究(如不要将小鼠称为“患者”)
- 避免使用口语化或过于笼统的术语替代精准的领域术语
- 不要从相邻领域引入术语而不确保使用正确
验证术语使用:
- 查阅领域特定的风格指南与命名资源
- 查看目标期刊近期论文中术语的使用方式
- 使用领域特定数据库与本体(如基因本体、MeSH术语)
- 不确定时,引用确立该术语的核心参考文献
9. Common Pitfalls to Avoid
9. 常见误区规避
Top Rejection Reasons:
- Inappropriate, incomplete, or insufficiently described statistics
- Over-interpretation of results or unsupported conclusions
- Poorly described methods affecting reproducibility
- Small, biased, or inappropriate samples
- Poor writing quality or difficult-to-follow text
- Inadequate literature review or context
- Figures and tables that are unclear or poorly designed
- Failure to follow reporting guidelines
Writing Quality Issues:
- Mixing tenses inappropriately (use past tense for methods/results, present for established facts)
- Excessive jargon or undefined acronyms
- Paragraph breaks that disrupt logical flow
- Missing transitions between sections
- Inconsistent notation or terminology
主要拒稿原因:
- 统计方法不恰当、不完整或描述不足
- 过度解读结果或结论缺乏依据
- 方法描述不清晰,影响研究可重复性
- 样本量小、存在偏倚或样本不恰当
- 写作质量差或文本难以理解
- 文献综述不充分或背景介绍不足
- 图表不清晰或设计不佳
- 未遵循报告指南
写作质量问题:
- 时态使用不当(方法/结果使用过去时,既定事实使用现在时)
- 过度使用行话或未定义缩写
- 段落划分破坏逻辑连贯性
- 章节之间缺少过渡
- 符号或术语不一致
Workflow for Manuscript Development
手稿开发工作流程
Stage 1: Planning
- Identify target journal and review author guidelines
- Determine applicable reporting guideline (CONSORT, STROBE, etc.)
- Outline manuscript structure (usually IMRAD)
- Plan figures and tables as the backbone of the paper
Stage 2: Drafting
- Start with figures and tables (the core data story)
- Write Methods (often easiest to draft first)
- Draft Results (describing figures/tables objectively)
- Compose Discussion (interpreting findings)
- Write Introduction (setting up the research question)
- Craft Abstract (synthesizing the complete story)
- Create Title (concise and descriptive)
Stage 3: Revision
- Check logical flow and "red thread" throughout
- Verify consistency in terminology and notation
- Ensure figures/tables are self-explanatory
- Confirm adherence to reporting guidelines
- Verify all citations are accurate and properly formatted
- Check word counts for each section
- Proofread for grammar, spelling, and clarity
Stage 4: Final Preparation
- Format according to journal requirements
- Prepare supplementary materials
- Write cover letter highlighting significance
- Complete submission checklists
- Gather all required statements and forms
阶段1:规划
- 确定目标期刊并查阅作者指南
- 确定适用的报告指南(CONSORT、STROBE等)
- 勾勒手稿结构(通常为IMRAD)
- 将图表作为论文核心进行规划
阶段2:撰写
- 先制作图表(核心数据故事)
- 撰写方法部分(通常最容易起草)
- 撰写结果部分(客观描述图表内容)
- 撰写讨论部分(解读研究发现)
- 撰写引言部分(提出研究问题)
- 撰写摘要(整合完整研究故事)
- 拟定标题(简洁且具有描述性)
阶段3:修订
- 检查全文逻辑连贯性与“主线”
- 验证术语与符号的一致性
- 确保图表可独立理解
- 确认符合报告指南要求
- 验证所有引用准确且格式正确
- 检查各章节字数
- 校对语法、拼写与清晰度
阶段4:最终准备
- 按照期刊要求排版
- 准备补充材料
- 撰写突出研究意义的投稿信
- 完成投稿检查清单
- 收集所有所需声明与表格
Integration with Other Scientific Skills
与其他科学技能的整合
This skill works effectively with:
- Data analysis skills: For generating results to report
- Statistical analysis: For determining appropriate statistical presentations
- Literature review skills: For contextualizing research
- Figure creation tools: For developing publication-quality visualizations
本技能可与以下技能有效结合:
- 数据分析技能:用于生成可报告的结果
- 统计分析技能:用于确定合适的统计呈现方式
- 文献综述技能:用于为研究提供背景
- 图表制作工具:用于制作可发表级别的可视化作品
References
参考文献
This skill includes comprehensive reference files covering specific aspects of scientific writing:
- : Detailed guide to IMRAD format and section-specific content
references/imrad_structure.md - : Complete citation style guides (APA, AMA, Vancouver, Chicago, IEEE)
references/citation_styles.md - : Best practices for creating effective data visualizations
references/figures_tables.md - : Study-specific reporting standards and checklists
references/reporting_guidelines.md - : Core principles of effective scientific communication
references/writing_principles.md
Load these references as needed when working on specific aspects of scientific writing.
本技能包含涵盖科学写作各特定方面的完整参考文件:
- :IMRAD格式与分章节内容的详细指南
references/imrad_structure.md - :完整的引用格式指南(APA、AMA、Vancouver、Chicago、IEEE)
references/citation_styles.md - :制作有效数据可视化作品的最佳实践
references/figures_tables.md - :按研究类型分类的报告标准与检查清单
references/reporting_guidelines.md - :有效科学沟通的核心原则
references/writing_principles.md
处理科学写作的特定方面时,可按需加载这些参考文件。