How to Use scite.ai to Check a Paper's Credibility Before You Cite It
A practical guide to Smart Citations: classifying 1.6 billion+ citations as supporting, contrasting, or merely mentioning, so you know whether a paper is actually trusted or just heavily cited.
Beginner7 min read
What you'll be able to do by the end
- Understand that citation count alone says nothing about quality — a paper can be cited thousands of times because other researchers refuted it
- Use Smart Citations to classify every citation (from a database of 1.6B+) as supporting, contrasting, or merely mentioning — with the citing text shown
- Spot papers later retracted or overtaken by science — something a plain citation counter like Google Scholar never tells you
- Set up Citation Alerts so you know immediately when a new paper cites or contradicts work you're following
- Know its limits: no permanent free plan (only a 7-day trial), and the classification is automated analysis, not a final judgment
Before you start
- An actual piece of research where you need to verify a paper before citing it, or an ongoing topic you want monitored for contradicting papers
- A primarily English-language academic field — scite's database is mostly English papers
If you work in academic research, you’ve hit this situation: you find a paper cited thousands of times and automatically assume it’s reliable because of the number. The problem is that citation count alone proves nothing — a paper can be cited thousands of times precisely because other researchers refuted it and demonstrated it was wrong. scite.ai was built to solve exactly this.
Its core tool is Smart Citations: it classifies every subsequent citation to a given paper — from a database of more than 1.6 billion citations — as supporting, contrasting, or merely mentioning, and shows you the actual text from the citing paper so you can judge the context yourself instead of trusting an abstract number. This exposes papers later retracted or left behind by science, which a plain citation counter like Google Scholar never reveals.
scite.ai differs from tools like Consensus or Elicit, which answer your research question or extract data across many papers — it addresses something else entirely: how one specific paper was cited after publication. There are limits to know, though: no permanent free plan (just a 7-day trial), and the classification itself is automated text analysis, not an infallible verdict.
The steps
The steps below run from signing up through verifying a single paper to monitoring a whole topic with alerts. If all you want is to vet one paper, you can stop after step two.
Steps
Step 1: Create an account and start the free 7-day trial
Open an account at scite.ai and start the 7-day free trial — there is no permanent free plan, so use this window to test Smart Citation reports on real papers from your field before deciding to subscribe.
Note: After the trial, the cheapest Basic plan starts at $20/month (annual billing, savings up to $96) and includes full-text search, unlimited Smart Citation reports and citation alerts, and collections of up to 1,000 papers.
Step 2: Search for a paper and read its Smart Citations report: supporting, contrasting, or mentioning
Search for the paper you want to check; scite shows its Smart Citations report, classifying every subsequent citation — from a database exceeding 1.6 billion citations — as supporting, contrasting, or merely mentioning, alongside the actual text from the citing paper. This exposes papers later retracted or overtaken by science, information a plain citation counter like Google Scholar never gives you.
Note: A high citation count by itself means nothing — weigh the ratio of contrasting citations against supporting ones before relying on the paper in your own work.
Step 3: Turn on citation alerts for papers or topics you follow
If there's a paper or research area you track continuously, enable Citation Alerts so scite notifies you the moment a new paper cites or contradicts it, instead of re-checking manually every few weeks.
Note: Especially useful if your thesis or project rests on a particular finding and you want to know quickly if anything later opposes it.
Step 4: Enable the ChatGPT or Claude integration to add real citations to general research
From your account settings, activate scite's integration with ChatGPT or Claude so that any research you do with a general assistant is backed by real citations from scite's database rather than resting on the model's general knowledge alone.
Note: Useful when you use a general assistant as the starting point for a question and then want to verify the credibility of the papers it names.
Step 5: If you need the API or large collections, upgrade to Pro
The Basic plan covers most individual researchers. But if you're building an application on scite's API, need collections above 1,000 papers (Pro goes to 10,000), or need patent, clinical trial, and grants data, upgrade to Pro at $50/month (annual billing, savings up to $120).
Note: No API, huge collections, or patent data needed? Stay on Basic — Pro is unnecessary overhead for most individual use.
Common mistakes — and how to avoid them
MistakeExpecting it to answer your research question like Consensus or Elicit.
Do this insteadUse it for an entirely different question: how a specific paper was cited afterwards — supported, opposed, or just mentioned. For direct answers to a research question, Consensus or Elicit fit better.
MistakeTreating a 'supporting' or 'contrasting' label as final without checking context.
Do this insteadThe classification is automated text analysis, not an infallible verdict. For any consequential decision, return to the full context inside the citing paper itself.
MistakeExpecting a permanent free plan usable without a subscription.
Do this insteadThere's only a 7-day free trial, after which subscriptions start at $20/month (Basic). Budget for it before making it a permanent tool.
❓ Frequently asked questions
How does scite.ai differ from Consensus or Elicit?
Consensus and Elicit answer your research question or extract data across multiple papers. scite.ai focuses on something entirely different: how a specific paper was cited afterwards — whether later papers supported it, opposed it, or merely mentioned it. That surfaces important papers being contradicted or overtaken despite heavy citation counts.
Does a high citation count mean a paper is trustworthy?
No, not necessarily. A paper can be cited thousands of times precisely because other researchers refuted it and proved it wrong — not because it's correct. Smart Citations classify each citation as supporting, contrasting, or merely mentioning so you can tell the difference.
Is there a free plan?
No — there's only a 7-day free trial. After that, the cheapest Basic plan starts at $20/month billed annually.
Can I fully trust the 'supporting' or 'contrasting' label?
The classification is automated analysis of the citing text, not an infallible verdict. For any consequential research decision, go back to the full context within the citing paper itself before relying on the label alone.