Research, reports, and signal — distilled. Turn overwhelming reading queues into focused recurring digests.
Joined April 2026
- Tweets58
- Following1
- Followers1
- Likes0
Before citing a high-ranked paper, write down the exact result you plan to use. Assess its risk of bias with a tool suited to the study design. Keep that appraisal beside your relevance notes.
ALT A two-step reading worksheet. First, choose a paper to read by matching it to your research question and record why it fits. Second, specify the outcome and analysis you will cite, use a bias tool suited to the study design, and record your judgement with justification. Method reference: Cochrane Handbook chapters 8 and 25.
Keep a one-line reason when you set a paper aside. Next week, you can check whether the new study answers a different question or repeats the same mismatch.
ALT A worksheet lists three reasons for setting a paper aside: population, method and outcome. Beside each reason, a matching question helps check whether a new paper fits. A footer says to revisit notes when the research question changes.
Literature surveillance works when it becomes a weekly decision process, not another alert feed.
Define the question, scan the right sources, dedupe, then rank what changed.
relaylit.com/blog/weekly-lit…
Keyword alerts are good at finding matches. They are weak at deciding what deserves the next read.
The useful layer is ranking against the research question, not another chronological inbox.
relaylit.com/blog/ai-ranking…
Matching is the easy part of literature monitoring. The expensive part is triage: deciding which few of this week's new papers actually change your direction, and reading those first.
Relevance ranking beats another alert feed.
relaylit.com/blog/ai-ranking…
Watching one database is easy. Watching six without drowning in duplicates is the real job — dedupe first, then rank what actually deserves the next read.
A practical map of the sources worth tracking:
relaylit.com/blog/six-resear…
PubMed alerts are a decent tripwire, not a reading workflow. The missing layer is dedupe + priority: what changed, what matters, and what deserves a human read first.
relaylit.com/blog/pubmed-ale…
The hard part of literature monitoring is not finding another paper. It is knowing which one deserves the next careful read.
A feed can match keywords; a workflow has to rank signal.
Most research alerts are built for matching.
The real work starts after that: deduplicate, rank, and decide which paper gets the first human read. Flat feeds make everything look equally urgent.
Google Scholar Alerts are fine at flagging matches. They cannot tell you which of today's ten hits actually changes what you read first.
Seven alternatives compared for that job:
relaylit.com/blog/google-sch…
Keyword alerts are useful until the topic starts moving. The better question is not what matched my query, but what deserves attention first.
Relaylit's take:
relaylit.com/blog/ai-ranking…
Most literature monitoring breaks at the handoff: six databases, duplicate records, and no ranking for what deserves attention first.
A practical map of the sources worth watching:
relaylit.com/blog/six-resear…
PubMed alerts are a useful starting point. But they miss preprints, cross-disciplinary work, and the relevance judgement a raw feed cannot make.
Practical setup + limits:
relaylit.com/blog/pubmed-ale…
Keyword alerts scale volume, not judgement.
A useful weekly literature workflow starts with a clear brief, retrieves across complementary sources, then deduplicates and ranks candidates before anyone starts reading.
Practical guide:
relaylit.com/blog/weekly-lit…
Paper alerts fail when every abstract arrives with the same weight. A useful digest keeps the source trail, then ranks the next read instead of handing you another flat feed.
relaylit.com/blog/ai-ranking…
Keyword alerts are good at volume. Researchers need judgment: relevance, topic drift, methods, and why one paper deserves attention before twenty others. Relaylit treats curation as ranking.
relaylit.com/blog/ai-ranking…
A useful research digest should not just say “new papers.” It should answer: why this paper, why now, and how it relates to what you already track. That is the product line Relaylit keeps moving toward.
Most literature searches are not discovery. They are triage: too many papers, too little context, unclear priority. Relaylit is built around the missing middle — ranking what matters for your interests before the reading pile becomes another inbox.
Research alerts usually answer one question: what matched the query? The better question is what deserves the first read. Relaylit watches a topic over time, scores new papers for fit, and sends a shortlist instead of another flat feed. relaylit.com
Useful research monitoring starts with ranking, not another pile of links. Relaylit turns a topic into a scored shortlist, so the first paper is chosen by fit rather than arrival time. relaylit.com