How It Works
From 100,000+ weekly papers to the 10 that matter most to you. Here's the full pipeline.
Collection & Indexing
We continuously monitor 290+ peer-reviewed journals — including Nature, Science, Cell, The Lancet, PNAS, and many more — alongside preprint servers (bioRxiv, medRxiv, arXiv). Data flows in through RSS feeds, Crossref, and OpenAlex APIs.
Each new paper is indexed with its complete metadata: title, authors, journal, abstract, publication date, and source classification. Our journal database is organized into tiers (elite, top, high, solid) based on scientific reputation and impact.
Want to see our full journal list? Browse all 290+ tracked journals with field categories, publishers, and tier classifications.
Multi-Signal Relevance Scoring
This is where our advanced selection algorithm does the heavy lifting. For each subscriber, every new paper is evaluated using multiple independent signals:
Keyword Relevance
Direct and semantic matching between the paper's content and your defined keywords. Goes beyond exact string matching to understand concept-level relevance.
Topic Alignment
How well the paper fits the broader research area defined by your selected topics. Ensures papers are relevant at the thematic level, not just keyword level.
Scientific Impact
Journal tier classification (elite → solid), combined with recency signals and citation-weight heuristics. Higher-impact publications receive appropriate weighting.
Cross-Field Discovery
Papers from outside your primary field that score high on conceptual relevance receive an elevation bonus. Breakthroughs often come from unexpected disciplines.
Selection & Ranking
The composite relevance score produces a ranked list of candidates. We select the top papers for each of your research projects — 5 papers for free users, 10 for paid users — with diversity constraints:
- No single journal dominates your digest
- Sub-topic variety ensures broad coverage across your interests
- Preprints and published papers are balanced based on availability
- Novelty is favored over incremental follow-up studies
Structured Summarization
Each selected paper receives a structured summary, designed for rapid scanning:
Key Findings
3–5 bullet points capturing the paper's most important results
Methods
How the research was conducted — techniques, models, data sources
Conclusions
What the authors claim and its broader implications
“Why This Matters”
Personalized context explaining why this paper is relevant to your specific research project
Summaries are extracted directly from abstract content — we never interpret, editorialize, or add claims that aren't in the original paper. Every summary links to the original source.
Monday Morning Delivery
Every Monday morning, your digest is compiled and delivered by email. Each research project gets its own section, clearly organized with paper titles, journal names, authors, and structured summaries.
The goal: You should be able to scan your entire digest over one coffee. Identify the papers that matter. Click through to the ones you want to read in full. That's it.
Built by Researchers, for Researchers
The Academic Digest was built out of personal frustration with the state of research discovery. Spending hours scanning Google Scholar and PubMed alerts wasn't sustainable — and the papers being missed were often the most important ones.
The selection engine is built on the principle that researchers shouldn't have to be experts in finding papers — that expertise should be reserved for reading them.
Every design decision — from the weekly cadence to the structured summaries to the 20% charity commitment — reflects a belief that science works better when researchers spend their time doing research, not managing information overload.
Our Commitment to Transparency
We believe researchers should understand how their tools work. Our selection engine is a carefully designed pipeline with clear, explainable principles:
- Relevance to your declared research interests
- Scientific quality and journal authority
- Diversity of sources and perspectives
- A preference for surprising discoveries over predictable results
Have questions about how our algorithm handles a specific case? Contact us — we're happy to explain.
See it in action
Set up your research interests in under 2 minutes. Your first curated digest arrives this Monday.