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William Bateson (8. srpna 1861 Robin Hood's Bay – 8. února 1926) byl britský genetik, první člověk, který použil termín genetika pro vědní obor, který se zabývá dědičností. Byl také hlavním popularizátorem do té doby neznámých výzkumů Gregora Mendela poté, co byly objeveny v roce 1900 de Vriesem a Corrensem.
The analysis highlights Overview and Odkazy as prominent areas in the source structure around William Bateson.
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 William Bateson shows recurring relationship patterns in the source. For example, William Bateson → Bateson, Bateson Archivováno, Documents, Donald Forsdyke's, Heredity, Materials, Mendel's Principles, Obrázky, Opposition, Origin, Punnett, Species, Study, Variation, Wayback Machine, Wikimedia Commons Another extracted example is William Bateson → St John’s College Rugby School. 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.
bateson william srpna února 1861 1926 genetik commons merton anglicky datové položky wikimedia genetika dědičností corrensem of to robin hood's
TTTA extracted 29 structured relationships around William Bateson. Examples in this analysis include William Bateson → Alma mater → St John’s College Rugby School and William Bateson → Bydliště → Anglie. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| William Bateson | Alma mater | St John’s College Rugby School | 1.00 | infobox |
| William Bateson | Bydliště | Anglie | 1.00 | infobox |
| William Bateson | Choť | Beatrice Bateson | 1.00 | infobox |
| William Bateson | Děti | Gregory Bateson | 1.00 | infobox |
| William Bateson | Narození | 8. srpna 1861 Whitby | 1.00 | infobox |
| William Bateson | Občanství | Spojené království Velké Británie a Irska | 1.00 | infobox |
| William Bateson | Ocenění | Darwinova medaile (1904) Silliman Memorial Lectures (1907) Královská medaile (1920) Crooneova medaile a přednáška (1920) člen Královské společnosti … více na Wikidatech | 1.00 | infobox |
| William Bateson | Povolání | genetik a biolog | 1.00 | infobox |
| William Bateson | Příbuzní | Mary Bateson, Margaret Heitland a Anna Bateson (sourozenci) Mary Catherine Bateson a Nora Bateson (vnoučata) | 1.00 | infobox |
| William Bateson | Rodiče | William Henry Bateson a Anna Batesonová | 1.00 | infobox |
| William Bateson | Zaměstnavatel | Univerzita v Cambridgi | 1.00 | infobox |
| William Bateson | Úmrtí | 8. února 1926 (ve věku 64 let) Merton | 1.00 | infobox |
The concept neighborhoods around William Bateson bring nearby vocabulary together. In this analysis, examples include William, Commons and Genetik. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For William Bateson, one of the stronger structural bridges in this analysis connects William Bateson 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 William Bateson to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview & Odkazy, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — William Bateson · CS edition · Analysis: TopicsToTalkAbout