Using Scite and Consensus for Academic Literature Review 2026
Overview
A thorough literature review is the foundation of good research — but it’s also one of the most time-consuming parts of academic work. Finding relevant papers, assessing their credibility, understanding how they’ve been cited, and synthesizing findings can take weeks.
Scite and Consensus are two AI-powered research tools that dramatically accelerate this process. Together, they form a powerful literature review workflow:
- Scite shows you how papers are actually used by other researchers — not just citation counts, but whether citations are supporting, contrasting, or mentioning
- Consensus is a search engine for academic papers that uses AI to extract findings, evaluate study quality, and provide direct answers to research questions
This tutorial covers a complete literature review workflow using both tools — from searching and filtering, to extracting insights, to generating a first-draft literature review.
Who this is for: Graduate students, academic researchers, PhD candidates, and anyone conducting structured literature reviews.
Prerequisites
- Scite account (free tier available at scite.ai; Pro recommended for serious research)
- Consensus account (free tier at consensus.app; Premium for unlimited searches)
- Reference manager (Zotero free, or Mendeley, EndNote) for saving papers
- A research question or topic you want to review
Step-by-Step Guide
Step 1: Set Up Your Scite Account and Dashboard
- Go to scite.ai and sign up (email or Google SSO)
- The free tier includes:
- 50 “See How It’s Cited” lookups per month
- 25 “Search” queries per month
- Basic citation statement viewing
- For this tutorial, the free tier is sufficient — but if you’re doing a full literature review, the Pro plan ($20/month academic pricing) is worth it
Configure your dashboard:
- Click your profile → Settings → Dashboard
- Add widgets for:
- Recent searches
- Saved paper lists
- Citation statement feed (papers citing your saved papers)
- Set your Research Discipline — this helps Scite prioritize relevant sources
Install the browser extension: The Scite browser extension (Chrome/Firefox) adds a sidebar to any paper page showing how that paper has been cited. Install it — it’s invaluable during exploratory reading.
- Go to scite.ai → Tools → Browser Extension
- Install for your browser
- When you visit a paper on PubMed, arXiv, Google Scholar, or a publisher site, click the Scite icon
- See citation statements and classification immediately
Step 2: Master Scite’s Smart Citation Search
Standard citation counts tell you nothing about how a paper is being used. A paper could be widely cited as “this methodology is flawed” and still have high citation numbers. Scite’s Smart Citations solve this by classifying each citation:
- Supporting — The citing paper uses this as evidence or agrees with the finding
- Contrasting — The citing paper disagrees, finds contradictory evidence, or notes limitations
- Mentioning — Neutral mention, no evaluative stance
Perform a smart citation search:
- Click “Search” in Scite’s top bar
- Enter a paper title or DOI:
Microdosing psychedelics: personality, mental health, and creativity differences in microdosers
-
Scite shows:
- Total citation count (e.g., 187 citations)
- Supporting vs Contrasting breakdown (e.g., 45% support, 12% contrast, 43% mention)
- Citation statement previews — actual sentences from citing papers
-
Click “View Citations” to see the full breakdown with detailed statements
Filter citations by:
- Year range — Are recent citations different from older ones?
- Journal quality — Filter by high-impact vs. lower-tier journals
- Discipline — How is this paper used in psychology vs. neuroscience?
- Support/Contrast — Focus specifically on papers that challenge the finding
Practical example: Search for “Does ketamine therapy work for depression?” in Consensus first (we’ll cover this next), then go to Scite to check how the key papers are being cited. If a landmark study has 80% supporting citations, the evidence base is strong. If it has 30% contrasting citations, the findings are contested — and that’s important context for your review.
Step 3: Use Scite to Evaluate Individual Papers
When you’ve found a paper you’re considering including in your review, Scite helps you evaluate it:
- Enter the paper’s DOI or URL in Scite’s search
- Look at the Citation Distribution Graph — it shows citations over time, colored by support/contrast
- Check “Cited by top journals” — are high-impact journals citing this paper?
- Review “Contrasting citations” first — these tell you the paper’s limitations and criticisms
- Review “Supporting citations” — what specific findings are being backed up?
Red flags to watch for:
- High contrast rate (>20%) — The paper’s conclusions are contested
- Clustering of contrasting citations in recent years — Newer evidence may be overturning older findings
- Citations only from low-impact journals — The paper may not have penetrated the main discourse
- No citations from your target journals — If your review is for a top-tier journal, the cited papers should include those sources
Green flags:
- High support ratio (>60%) — Widely accepted findings
- Citations from diverse disciplines — Broad impact
- Increasing citation rate — Growing relevance
Step 4: Set Up Consensus for Answer-Based Research
Consensus is a fundamentally different tool from Google Scholar. Instead of returning a list of paper titles, it answers your research question directly with evidence from papers.
- Go to consensus.app and sign up
- The free tier gives you 20 searches/month
- Install the Consensus browser extension as well — it adds a sidebar to PubMed and Google Scholar
Write effective research questions for Consensus:
| Too Vague | Better |
|---|---|
| ”What is the effect of exercise?" | "Does high-intensity interval training improve cardiovascular health in adults over 50?" |
| "Cannabis and memory" | "Does regular cannabis use affect short-term memory performance in young adults?" |
| "AI in medicine" | "What is the accuracy of AI-powered diagnostic tools for detecting skin cancer?” |
The difference: Consensus works best with a testable hypothesis phrased as a question. It finds papers that directly address that question.
Run your first Consensus search:
- Enter your research question:
Does intermittent fasting lead to greater weight loss compared to daily calorie restriction?
- Consensus returns:
- Top papers with study summaries generated by AI
- Consensus meter — An overall finding (e.g., “Intermittent fasting may be more effective for weight loss based on 42 studies”)
- Study characteristics — Sample size, population, study type (RCT, meta-analysis, observational)
- Extracted findings — One-line summaries of each paper’s conclusion
- Click any paper card to see:
- Full abstract
- Sample size and population
- Study type (RCT, systematic review, etc.)
- Link to the full text
Step 5: Extract Insights from Consensus Results
Consensus’s AI extraction is its killer feature. Each search returns structured data you can copy directly into your literature review notes:
Export findings:
- After searching, click “Export” (top right of results)
- Choose format:
- CSV — For spreadsheet analysis
- BibTeX — Import into Zotero or Mendeley
- Plain text — For pasting into notes
The CSV export includes columns: Title, Authors, Year, Journal, Study Type, Sample Size, Finding Summary, URL. This is your literature review table ready-made.
Use Consensus’s Study Type filter: Filter results to show only:
- Meta-analyses — Highest level of evidence
- Systematic reviews — Comprehensive literature summaries
- Randomized controlled trials — Gold standard for causal claims
- Observational studies — Real-world evidence
Pro tip: Run your Consensus search first, then export to CSV. This gives you a structured list of papers. Then take each paper to Scite for detailed citation analysis.
Step 6: Cross-Reference with Scite for Credibility
Once Consensus gives you a list of relevant papers, use Scite to verify each one:
Workflow: Consensus → Scite cross-reference
- From Consensus, note the DOI or title of the strongest paper
- Paste it into Scite’s search
- Check the support/contrast ratio
- Read 3-5 contrasting citation statements to understand critiques
- Read 3-5 supporting citation statements to see corroboration
- Make a judgment: Is this paper reliable enough to include?
Example cross-reference: From Consensus: “Intermittent fasting shows significant weight loss compared to calorie restriction (RR 1.15, 95% CI 1.02-1.30)” based on a 2024 meta-analysis.
Scite check on that meta-analysis:
- 67 citations: 52% supporting, 8% contrasting, 40% mention
- Supporting citations: Clinical trials confirming the finding
- Contrasting citations: 2 papers suggesting the effect disappears at 12-month follow-up
This critical nuance — that short-term benefits may not persist — is exactly the kind of insight that elevates a literature review from “list of papers” to “synthesis of evidence.”
Step 7: Save and Organize with Your Reference Manager
Both Scite and Consensus integrate with reference managers:
From Scite:
- Click “Save” on any paper
- Export options: BibTeX, RIS, Zotero direct
- Create Collections in Scite — organize papers by theme
From Consensus:
- Click the bookmark icon on any paper
- Create Lists organized by research question
- Export your list as BibTeX for Zotero import
Zotero integration workflow:
- Install the Zotero browser connector
- When viewing a paper in Consensus or Scite, click the Zotero icon
- Zotero captures metadata automatically
- Tag papers in Zotero:
#scite-reviewed,#consensus-confirmed,#contrasting-evidence
This ensures your references are organized before you start writing.
Step 8: Generate Your Literature Review Draft
With both tools, you can generate a first-draft literature review:
Using Consensus’s AI synthesis:
- Run a comprehensive search on your research question
- Click “Synthesize” (Pro feature) to get a narrative summary
- The synthesis covers: what’s known, points of disagreement, gaps in evidence, and directions for future research
- Copy this as your starting draft
Using Scite’s Assistant:
- Build a collection of 10-20 key papers in Scite
- Use Scite Assistant (available in Pro):
- “Summarize the key findings from this collection”
- “What are the main points of disagreement between these papers?”
- “Identify research gaps across these papers”
- The Assistant’s output follows academic conventions — use it as a literature review framework
Bringing it together — your writing workflow:
1. Define research question
2. Search Consensus → get structured list of papers
3. Filter by study type (prioritize meta-analyses and RCTs)
4. Export to CSV → get structured data table
5. For each key paper: Scite citation analysis
6. Note contrasting citations → these become your "debate" section
7. Use Consensus synthesis + Scite Assistant → generate draft
8. Cross-reference drafts with Zotero library
9. Add your own analysis and synthesis
10. Write final literature review
Expected time savings: Without AI tools: 2-3 weeks for a comprehensive literature review With Scite + Consensus: 2-4 days for the first draft
Troubleshooting
Scite says “no citation data found”
Some papers, especially recent preprints, haven’t been cited enough for meaningful analysis. Use Scite’s “Search by Topic” instead — enter keywords and Scite will find all relevant papers with citation data.
Consensus returns irrelevant results
Your research question may be too broad or poorly phrased. Refine it:
- Add population (“in adults over 65”)
- Add intervention (“compared to placebo”)
- Add outcome (“measured by blood pressure”)
- Add time frame (“over 12 weeks”)
Too many papers to review
Use Consensus’s Study Type and Year filters aggressively. For a focused review, limit to the last 5 years and meta-analyses/systematic reviews only. You can always expand if needed.
Cannot access full text
Use the Unpaywall or Open Access Button browser extension alongside Scite. Many papers Scite indexes have open-access preprints. Alternatively, check Google Scholar or your institution’s library portal.
Next Steps / Advanced
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Scite Reference Check — Before submitting your paper, run Scite Reference Check (Pro feature). It analyzes your entire reference list, flags retracted papers, and shows how each reference has been cited.
-
Consensus API — Consensus offers an API for programmatic search. Build an automated literature screener using Python:
import requests
# Find papers on your research question
url = "https://api.consensus.app/search"
params = {
"q": "Does meditation reduce anxiety in clinical populations?",
"limit": 20,
"sort": "citation_count"
}
response = requests.get(url, headers={"Authorization": "Bearer YOUR_KEY"})
papers = response.json()
-
Scite + n8n integration — Set up an n8n workflow that monitors Scite for new citations to your saved papers. Get a notification when important new papers cite your key references.
-
Create a living literature review — Use Scite Collections and Consensus GPT (available in ChatGPT’s plugin store) to maintain an up-to-date literature review that automatically adds new papers as they’re published.
FAQ
Are Scite and Consensus free?
Both have free tiers with limited usage. Scite free: 50 citation lookups/month. Consensus free: 20 searches/month. For a full literature review, expect to need at least one Pro subscription ($20/month academic pricing).
How accurate is Consensus’s AI summary?
Consensus claims 95%+ accuracy in extracting findings from abstracts. However, always verify the AI summary against the actual paper — especially for conclusions that seem surprising or contradictory to your existing knowledge.
Can I use these tools for non-academic research?
Absolutely. Both tools work well for policy research, market research reports, and evidence-based business analysis. The literature review workflow is the same regardless of domain.
What about Google Scholar and PubMed?
Neither Scite nor Consensus replaces Google Scholar and PubMed — they augment them. Use Google Scholar for initial exploration and broad searches, Consensus for targeted answer-based research, and Scite for credibility assessment. The best workflow uses all three.