Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
Thalidomid (obchodní název Contergan) je chemická látka, která má léčivé účinky coby uklidňující lék (sedativum) a uspávací látka (hypnotikum). Používán byl od poloviny 50. do začátku 60. let 20. století ve 46 státech světa (zejména v některých zemích západní Evropy a v Americe, nikoliv však v Československu). Počátkem šedesátých letech však byly…
The analysis highlights Contergan a Kevadon, Conterganová aféra and Následky a důsledky as prominent areas in the source structure around Thalidomid.
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 Thalidomid shows recurring relationship patterns in the source. For example, Thalidomid → Chemie Grünenthal, Contergan, Cách, K17, Lék, Následné, Stolbergu, Světová, Série Another extracted example is Thalidomid → Alexander Leslie Florence, British Medical Journal, Grünenthal, Na, Následovalo, První. 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.
lék účinky 1961 jako contergan grünenthal názvem léku důsledku první poškození let chemie usa teratogenní stp název proti tisíc merrel
TTTA extracted 30 structured relationships around Thalidomid. Examples in this analysis include Thalidomid → Anglický název → α-Phthalimidoglutarimide and Thalidomid → Molární hmotnost → 258,2 g/mol. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Thalidomid | Anglický název | α-Phthalimidoglutarimide | 1.00 | infobox |
| Thalidomid | Molární hmotnost | 258,2 g/mol | 1.00 | infobox |
| Thalidomid | Registrační číslo CAS | 50-35-1 | 1.00 | infobox |
| Thalidomid | Sumární vzorec | C13H10N2O4 | 1.00 | infobox |
| Thalidomid | Systematický název | (RS)-2-(2,6-dioxopiperidin-3-yl)-1H-isoindol-1,3(2H)-dion | 1.00 | infobox |
| Thalidomid | related to Contergan a Kevadon | Lék | 0.60 | section |
| Thalidomid | related to Contergan a Kevadon | Chemie Grünenthal | 0.60 | section |
| Thalidomid | related to Contergan a Kevadon | Stolbergu | 0.60 | section |
| Thalidomid | related to Contergan a Kevadon | Cách | 0.60 | section |
| Thalidomid | related to Contergan a Kevadon | K17 | 0.60 | section |
| Thalidomid | related to Contergan a Kevadon | Série | 0.60 | section |
| Thalidomid | related to Contergan a Kevadon | Světová | 0.60 | section |
The concept neighborhoods around Thalidomid bring nearby vocabulary together. In this analysis, examples include Jako, Lék and Coby. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Thalidomid, one of the stronger structural bridges in this analysis connects Thalidomid with Contergan a Kevadon. 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 Thalidomid to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Contergan a Kevadon, Conterganová aféra & Následky a důsledky, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Thalidomid · CS edition · Analysis: TopicsToTalkAbout