Literature Discovery & Citation Mapping Tools
A new generation of AI-assisted discovery tools sits alongside traditional databases for finding and mapping the literature: Research Rabbit and Connected Papers build visual citation networks from a seed paper; Elicit and Consensus use language models to extract and summarize findings across many papers; Scite classifies citations by whether they support, contrast with, or merely mention a cited claim; and Semantic Scholar (Allen Institute for AI) combines a large open corpus with AI-generated summaries and influence metrics. Pages here explain what each tool actually does differently, since their names are frequently confused despite serving distinct discovery tasks.
Guides
PubMed Alerts and Saved Searches: My NCBI Setup, the RSS Alternative, and Keeping Them Useful
How to set up a PubMed email alert through My NCBI, the login-free RSS feed alternative, the daily/weekly/monthly schedule options, and the query-refinement habits that keep an alert relevant for years instead of decaying into noise.
Why PubMed Doesn’t Report a Journal Impact Factor
PubMed indexes articles and journal metadata; it isn’t a citation-metrics product. Here’s the structural reason it has no Impact Factor field, and exactly where to look one up instead.
Citation Chaining and Snowballing a Literature Search
Backward (reference-list) and forward (cited-by) citation chaining, the tools that make each practical, how to combine chaining with a database search, and how to recognize when to stop.
Searching the Cochrane Library: CENTRAL vs. CDSR, and Building a Trials-Register Search
A guide to what CENTRAL, CDSR, Cochrane Protocols and Cochrane Clinical Answers actually are, how they differ, and the MeSH-descriptor, field-code, and proximity-operator syntax for building a documented trials-register search.
Using the Scopus API: API Key, Institutional Token, and Search vs. Abstract Retrieval
A practical guide to the Scopus API: getting an API key from the Elsevier Developer Portal, the institutional-token entitlement wall that blocks most first attempts, the Search API vs. Abstract Retrieval API distinction, and worked example queries for both.
Google Scholar Button and Scholar PDF Reader Explained
The Google Scholar Button and Scholar PDF Reader are two separate Google tools with different jobs: one formats citations and finds full text from any webpage, the other adds AI outlines and annotation to PDFs opened through Scholar. Neither stores a library or manages references.
Citing From Google Scholar Without Importing Errors
Google Scholar’s automated citation export is convenient but unverified: it commonly misparses author names, omits or fabricates DOIs, and can cite the preprint instead of the published version. This guide documents the recurring error patterns and gives a concrete checklist to run before importing any Scholar-generated citation into a reference manager or manuscript.
Scopus Advanced Search Syntax: Field Codes, Proximity Operators, and Precedence Rules
A precise reference to Scopus’s advanced search syntax: field codes, the W/n vs PRE/n proximity-operator distinction, boolean precedence pitfalls, and document-type/date filtering, built around one worked, reproducible query string.
Open Access Button Shut Down in November 2025: The Legal Full-Text Routes That Replace It
Open Access Button, the browser extension and request-a-copy tool for finding legal full text, was sunset by OA.Works on November 18, 2025. Here is what it searched, the one feature nothing else replaced, and how Unpaywall and manual routes cover the same ground now.
Using Google Scholar for a Literature Review
Google Scholar is fast and broad, but it has no field codes, no reproducible export, and no controlled vocabulary — a strong supplement for citation chaining, not a reliable primary search for a systematic-review-adjacent literature review.
PubMed Clinical Queries Filters: Therapy, Diagnosis, Etiology, Prognosis
PubMed Clinical Queries applies five pre-built methodologic filters — Therapy, Diagnosis, Etiology, Prognosis, Clinical Prediction Guides — at Broad or Narrow scope. Here is what each does and when to build your own documented strategy instead.
Using the PubMed E-utilities API: ESearch, EFetch, ELink and the 9,999-Record Ceiling
A measured, end-to-end walkthrough of pulling a department or author publication set from PubMed over HTTP: ESearch, EFetch, ELink, EPost and the History server, the real retrieval ceiling and batch caps, the observed rate limits, and the field tags E-utilities silently discards.
Google Scholar Alerts: The Three Types, Why They Decay, and How to Design a Query That Lasts
A Scholar alert is a saved query that runs unattended for years, and it inherits every silent failure of Scholar’s query parser. The three alert types, the two ways alerts decay, a query pattern that survives the character limit, and why an alert is not reportable in a systematic review.
Using the Semantic Scholar Academic Graph API: Batch Recipes and Real Rate Limits
Three worked recipes for the Semantic Scholar Academic Graph API — resolving DOIs in 500-id batches, pulling citation contexts, and bulk retrieval that stays inside the rate limits — with every limit measured against the live API on 26 August 2026 and separated from what Semantic Scholar documents.
The PubMed Advanced Search Builder: Numbered History, Field Tags, and Reading Search Details
The Advanced Search page gives you a Builder, a numbered History and a Search Details expander. The third is the one that matters: PubMed routinely runs a different query from the one you typed, and Search Details is the only place that is visible. Documented behaviour from NLM’s PubMed User Guide, paired with retrieval counts measured against PubMed on 26 August 2026.
MeSH Terms in PubMed: Explosion, Major Topic, Subheadings — and What MeSH Alone Misses
Explosion, [majr] and subheadings are the three mechanics that change what a MeSH search returns — each documented against NLM’s PubMed User Guide and measured against live retrieval counts. Plus the failure mode nobody flags: a MeSH-only strategy silently under-retrieves the newest literature.
Google Scholar Advanced Search: Which Operators Actually Work (and Which Silently Fail)
Google Scholar honours only a handful of search operators, documents almost none of them, and returns plausible results for the ones it ignores. An evidence-tiered reference to what works, what silently fails, and the limits that break ported search strategies.
