How PubGo Works

PubGo uses advanced machine learning to understand what your research is about, and find journals where similar work gets published.

The Matching Process

1

You paste your abstract

Submit your paper's title and abstract. No full manuscript needed.

2

Select your medical specialty

Choose your research field to activate models specifically trained for your domain, including cardiology, surgery, radiology, and more.

3

Advanced ML analyzes your content

Our algorithms understand the semantic meaning of your research, the field context and nuances, not just keywords.

4

We compare against real publications

Your abstract is compared against millions of published medical articles to find where similar research has been accepted.

5

You get ranked recommendations

Results show journals ranked by how closely they match your work with match scores to help you prioritize.

What Makes This Different

Based on actual publications not descriptions

We analyze what journals actually publish not just what they say in their "aims and scope." This gives you a more realistic picture of where your paper fits.

Specialty-specific models

Each medical specialty has its own trained model that understands the nuances of that field, cardiology papers are matched differently than surgery papers.

Semantic understanding not keyword matching

Traditional tools look for word overlap. PubGo understands concepts and context, recognizing that "cardiac arrest" and "heart failure" are related even if the exact words differ.

What PubGo Does NOT Do

  • Generate or rewrite any text
  • Make up fictional journals or recommendations
  • Guarantee acceptance at any journal
  • Replace your own expertise and judgment

See the Results

We measure our accuracy on articles we've never seen before. For active specialties the right journal typically appears in the top 3 recommendations.

View performance metrics →

Try it yourself

Paste your abstract and see journal recommendations in seconds.

Open the Matcher