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Embase (often styled EMBASE for Excerpta Medica dataBASE) is a biomedical and pharmacological bibliographic database of published literature designed to support information managers and pharmacovigilance in complying with the regulatory requirements of a licensed drug. Embase, produced by Elsevier, contains over 32 million records from over 8,500…
The analysis highlights History, Current status and Overview as prominent areas in the source structure around Embase.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Embase shows recurring relationship patterns in the source. For example, Embase → Anne, BF01977620, Carol, CENTRAL, Clinical Epidemiology, Cochrane Central Register, Controlled Trials, December, Eisinga, Emerging Themes, Enhancing, Epidemiology, Failure, Golder, Jos, Journal, Kath, Kleijnen, Knipschild, Lefebvre Another extracted example is Embase → Abstract Journals, Dutch, Elsevier, EM, EMBASE Classic, Excerpta Medica, Following, In, Included, This, World War II. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
elsevier journals database published drug excerpta medica pmid 10 information records biomedical coverage medline doi em 1947 daily medical literature
TTTA extracted 76 structured relationships around Embase. Examples in this analysis include Embase → Cost → Subscription and Embase → Disciplines → Medicine. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Embase | Cost | Subscription | 1.00 | infobox |
| Embase | Disciplines | Medicine | 1.00 | infobox |
| Embase | Format coverage | journal articles | 1.00 | infobox |
| Embase | Geospatial coverage | Worldwide | 1.00 | infobox |
| Embase | History | 1947–present | 1.00 | infobox |
| Embase | Print title | Excerpta Medica (EM) Abstract Journals | 1.00 | infobox |
| Embase | Producer | Elsevier (Netherlands) | 1.00 | infobox |
| Embase | Record depth | index | 1.00 | infobox |
| Embase | Temporal coverage | 1947–present | 1.00 | infobox |
| Embase | Update frequency | Daily | 1.00 | infobox |
| Embase | Website | elsevier.com/embase | 1.00 | infobox |
| implementing a RSS feed | instance of | Embase allows further customization for a personal experience | 0.80 | text |
The concept neighborhoods around Embase bring nearby vocabulary together. In this analysis, examples include Elsevier, Excerpta and Medica. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Embase, one of the stronger structural bridges in this analysis connects Embase with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Embase to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Current status & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Embase · EN edition · Analysis: TopicsToTalkAbout