334 lines
16 KiB
Markdown
334 lines
16 KiB
Markdown
---
|
|
name: scientific-writing
|
|
description: "Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), abstracts, for research papers and journal submissions."
|
|
---
|
|
|
|
# Scientific Writing
|
|
|
|
## Overview
|
|
|
|
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.
|
|
|
|
## When to Use This Skill
|
|
|
|
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
|
|
|
|
## Core Capabilities
|
|
|
|
### 1. Manuscript Structure and Organization
|
|
|
|
**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.md`.
|
|
|
|
**Alternative 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
|
|
|
|
### 2. Section-Specific Writing Guidance
|
|
|
|
**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
|
|
|
|
### 3. Citation and Reference Management
|
|
|
|
Apply citation styles correctly across disciplines. For comprehensive style guides, refer to `references/citation_styles.md`.
|
|
|
|
**Major 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)
|
|
|
|
### 4. Figures and Tables
|
|
|
|
Create effective data visualizations that enhance comprehension. For detailed best practices, refer to `references/figures_tables.md`.
|
|
|
|
**When 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
|
|
|
|
### 5. Reporting Guidelines by Study Type
|
|
|
|
Ensure completeness and transparency by following established reporting standards. For comprehensive guideline details, refer to `references/reporting_guidelines.md`.
|
|
|
|
**Key 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.
|
|
|
|
### 6. Writing Principles and Style
|
|
|
|
Apply fundamental scientific writing principles. For detailed guidance, refer to `references/writing_principles.md`.
|
|
|
|
**Clarity**:
|
|
- 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
|
|
|
|
### 7. Journal-Specific Formatting
|
|
|
|
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
|
|
|
|
### 8. Field-Specific Language and Terminology
|
|
|
|
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
|
|
|
|
### 9. Common Pitfalls to Avoid
|
|
|
|
**Top Rejection Reasons:**
|
|
1. Inappropriate, incomplete, or insufficiently described statistics
|
|
2. Over-interpretation of results or unsupported conclusions
|
|
3. Poorly described methods affecting reproducibility
|
|
4. Small, biased, or inappropriate samples
|
|
5. Poor writing quality or difficult-to-follow text
|
|
6. Inadequate literature review or context
|
|
7. Figures and tables that are unclear or poorly designed
|
|
8. 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
|
|
|
|
## Workflow for Manuscript Development
|
|
|
|
**Stage 1: Planning**
|
|
1. Identify target journal and review author guidelines
|
|
2. Determine applicable reporting guideline (CONSORT, STROBE, etc.)
|
|
3. Outline manuscript structure (usually IMRAD)
|
|
4. Plan figures and tables as the backbone of the paper
|
|
|
|
**Stage 2: Drafting**
|
|
1. Start with figures and tables (the core data story)
|
|
2. Write Methods (often easiest to draft first)
|
|
3. Draft Results (describing figures/tables objectively)
|
|
4. Compose Discussion (interpreting findings)
|
|
5. Write Introduction (setting up the research question)
|
|
6. Craft Abstract (synthesizing the complete story)
|
|
7. Create Title (concise and descriptive)
|
|
|
|
**Stage 3: Revision**
|
|
1. Check logical flow and "red thread" throughout
|
|
2. Verify consistency in terminology and notation
|
|
3. Ensure figures/tables are self-explanatory
|
|
4. Confirm adherence to reporting guidelines
|
|
5. Verify all citations are accurate and properly formatted
|
|
6. Check word counts for each section
|
|
7. Proofread for grammar, spelling, and clarity
|
|
|
|
**Stage 4: Final Preparation**
|
|
1. Format according to journal requirements
|
|
2. Prepare supplementary materials
|
|
3. Write cover letter highlighting significance
|
|
4. Complete submission checklists
|
|
5. Gather all required statements and forms
|
|
|
|
## Integration with Other Scientific Skills
|
|
|
|
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
|
|
|
|
## References
|
|
|
|
This skill includes comprehensive reference files covering specific aspects of scientific writing:
|
|
|
|
- `references/imrad_structure.md`: Detailed guide to IMRAD format and section-specific content
|
|
- `references/citation_styles.md`: Complete citation style guides (APA, AMA, Vancouver, Chicago, IEEE)
|
|
- `references/figures_tables.md`: Best practices for creating effective data visualizations
|
|
- `references/reporting_guidelines.md`: Study-specific reporting standards and checklists
|
|
- `references/writing_principles.md`: Core principles of effective scientific communication
|
|
|
|
Load these references as needed when working on specific aspects of scientific writing.
|