How to write a scientific paper — a practical guide

How do you write a scientific paper?
Writing a scientific paper is not only presenting data—it is answering a research question in a systematic, transparent, and persuasive way. A strong paper is methodologically sound, clearly written, and aligned with the literature.
This guide walks through the main stages from research idea to publication.
1️⃣ From research idea to study design
1.1 Research question
A strong paper starts with a strong question.
- Specific
- Measurable
- Addresses a gap in the literature
- Delivers scientific or clinical value
Weak question: “A review of hydrocephalus”
Stronger question: “Which independent clinical factors predict ETV success in premature infants?”
1.2 Literature review
Goals:
- What has been done?
- Where are the contradictions?
- What are methodological gaps?
- What will your contribution be?
Search databases such as PubMed, Scopus, and Web of Science systematically. Combine keywords and MeSH terms where appropriate.
1.3 Study design
The question determines the design.
| Question type | Typical design |
|---|---|
| Causality | Randomized controlled trial |
| Risk factor | Cohort / case–control |
| Descriptive | Cross-sectional |
| Prognosis | Cohort |
| Diagnostic accuracy | Diagnostic accuracy study |
If the design is wrong, the paper will be weak regardless of prose.
2️⃣ IMRAD structure
Most scientific articles follow IMRAD: Introduction, Methods, Results, And Discussion.
This builds a logical story: Problem → How I studied it → What I found → What it means.
3️⃣ Section-by-section writing
🧠 Introduction
Aims:
- Define the problem
- Show the literature gap
- State the study purpose clearly
Typical flow:
- Broad context
- What is known
- What is missing
- Objective of this study
The last sentence often states: “The aim of this study was to …”
🔬 Methods
The most critical section.
Should include:
- Study design
- Setting and timeframe
- Inclusion/exclusion criteria
- Variables measured
- Measurement procedures
- Statistical analysis
Core principle: another researcher should be able to repeat the study.
Statistics should report:
- Test names
- Significance level
- Software
- Assumption checks where relevant
📊 Results
Present data without interpretation. No discussion here.
Suggested order:
- Participant characteristics
- Primary analysis
- Secondary analyses
- Regression / subgroup analyses
Tables and figures should complement—not repeat—the text verbatim.
💡 Discussion
Here you:
- Summarize key findings
- Compare with prior literature
- Discuss mechanisms where appropriate
- Highlight clinical or scientific implications
- State limitations openly
Strong papers:
- Do not hide limitations
- Are cautious with causal language when design does not support it
- Avoid overgeneralization
📎 Conclusion
Keep it short and concrete.
- Summary of findings
- Clinical/academic implication
- No unnecessary repetition
4️⃣ Title and abstract
Title
- Concise
- Specific
- Not overstated
- Avoid implying causality inappropriate to the design
Weak example: “ETV is the best treatment…”
Better example: “Factors associated with ETV success in premature infants”
Abstract
Often structured:
- Objective
- Methods
- Results
- Conclusion
Common mistake: discussing implications without presenting data.
5️⃣ Publication ethics
Scientific writing must avoid:
- Plagiarism
- Fabricated data
- Selective reporting
- Authorship that does not reflect real contribution
Ethics committee information should be stated clearly when required.
6️⃣ Journal choice and submission
Consider:
- Scope
- Target readership
- Recent publications
- Methodological expectations
Cover letter:
- Summarize contribution in 4–5 sentences
- Stay factual—avoid hype
7️⃣ Peer review and revision
When revisions arrive:
- Respond professionally, not emotionally
- Answer every point
Response document should map:
- Reviewer comment
- Your reply
- Where the manuscript changed (line/page)
8️⃣ Common mistakes
- Strong discussion, weak methods
- Over-focusing on p-values
- Misusing “predictor” language in retrospective designs
- Omitting limitations
- Table/text contradictions
Conclusion
A strong scientific paper:
- Starts from the right question
- Rests on sound methods
- Presents results honestly
- Relates fairly to the literature
- Draws measured conclusions
Scientific writing is as much intellectual discipline as technique.
Next steps after writing and the peer review process:
- Scientific manuscript evaluation — pre-submission review and risk mapping
- Why papers get rejected — reasons and prevention
- Peer review checklist
- How the peer review process works
- How reviewers evaluate manuscripts
Evaluate before you submit
Review your manuscript from a reviewer’s perspective—see rejection and revision risks early.
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