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Alexander Fleming: Život & Overview
Sir Alexander Fleming (6. srpna 1881 farma Lochfield u Darvelu v hrabství Ayrshire ve Skotsku – 11. března 1955 Londýn) byl skotský lékař známý objevem baktericidních účinků lysozymu, ale hlavně získáním penicilinu z plísně Penicillium notatum. Za objev penicilinu získal Fleming v roce 1945 společně s Howardem Floreyem a Ernstem Chainem Nobelovu cenu za…
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Alexander Fleming topic overview
The analysis highlights Život and Overview as prominent areas in the source structure around Alexander Fleming.
Related topics
108
Source areas
2
Connected nodes
110
Extracted relationships
58
Concept neighborhoods
11
Bridge connections
110
What this topic covers Research coverage
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.
Život · 91 topics
Overview · 17 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Alma mater
Imperial College London Imperial College School of Medicine Kilmarnock Academy Westminsterská univerzita St Mary's Hospital Medical School
Choť
Sarah Marion McElroy (1915–1949) Amalia Fleming (1953–1955)
Děti
Robert Fleming
Funkce
rektor Edinburské univerzity
Místo pohřbení
Katedrála svatého Pavla
Narození
6. srpna 1881 Lochfield
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Alexander Fleming connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Alexander Fleming shows recurring relationship patterns in the source. For example, Alexander Fleming → Alec, Ayrshire, Darvelu, Druhý, Fleming, Glasgow, Grace, Grace Mortonové, Hugha, Hugha Fleminga, Jane, Johna, Kilmarnocku, Lochfield Farm, Mary, Měl, Na, Od, Po, Roberta Another extracted example is Alexander Fleming → Alexandra Fleminga, André, Arzt, Cambridge, Forscher, Gwyn MacFarlane, Harvard University Press, List, Massachusetts, Maurois, Mnichov, Myth, Praha, SNKLU, The Man. Use these groups to spot repeated connection types before inspecting the individual relationships.
Alexander Fleming → Alexandra Fleminga, André, Arzt, Cambridge, Forscher, Gwyn MacFarlane, Harvard University Press, List, Massachusetts, Maurois, Mnichov, Myth, Praha, SNKLU, The Man
related to Externí odkazy· 4
Alexander Fleming → Galerie Alexander Fleming, Už, Wikimedia Commons Obrázky, Wikimedia CommonsZachraňuje
Alma mater· 1
Alexander Fleming → Imperial College London Imperial College School of Medicine Kilmarnock Academy Westminsterská univerzita St Mary's Hospital Medical School
Choť· 1
Alexander Fleming → Sarah Marion McElroy (1915–1949) Amalia Fleming (1953–1955)
Děti· 1
Alexander Fleming → Robert Fleming
Funkce· 1
Alexander Fleming → rektor Edinburské univerzity
Místo pohřbení· 1
Alexander Fleming → Katedrála svatého Pavla
Narození· 1
Alexander Fleming → 6. srpna 1881 Lochfield
Občanství· 1
Alexander Fleming → Spojené království
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Alexander Fleming relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 58 structured relationships around Alexander Fleming. Examples in this analysis include Alexander Fleming → Alma mater → Imperial College London Imperial College School of Medicine Kilmarnock Academy Westminsterská univerzita St Mary's Hospital Medical School and Alexander Fleming → Choť → Sarah Marion McElroy (1915–1949) Amalia Fleming (1953–1955). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Alexander Fleming
Alma mater
Imperial College London Imperial College School of Medicine Kilmarnock Academy Westminsterská univerzita St Mary's Hospital Medical School
1.00
infobox
Alexander Fleming
Choť
Sarah Marion McElroy (1915–1949) Amalia Fleming (1953–1955)
1.00
infobox
Alexander Fleming
Děti
Robert Fleming
1.00
infobox
Alexander Fleming
Funkce
rektor Edinburské univerzity
1.00
infobox
Alexander Fleming
Místo pohřbení
Katedrála svatého Pavla
1.00
infobox
Alexander Fleming
Narození
6. srpna 1881 Lochfield
1.00
infobox
Alexander Fleming
Občanství
Spojené království
1.00
infobox
Alexander Fleming
Ocenění
člen Královské společnosti (1943) Medaile Johna Scotta (1944) Knight Bachelor (1944) čestný doktor Pařížské univerzity (1945) Nobelova cena za fyziologii a lékařství (1945) … ví…
1.00
infobox
Alexander Fleming
Povolání
bakteriolog, farmakolog, lékař, chirurg a vynálezce
1.00
infobox
Alexander Fleming
Příčina úmrtí
infarkt myokardu
1.00
infobox
Alexander Fleming
Rodiče
Hugh Fleming a Grace Morton
1.00
infobox
Alexander Fleming
Zaměstnavatelé
Imperial College London Londýnská univerzita
1.00
infobox
Alexander Fleming
Úmrtí
11. března 1955 (ve věku 73 let) Londýn
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Alexander Fleming bring nearby vocabulary together. In this analysis, examples include Března, Lochfield and Londýn. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Alexander Fleming
Března
Lochfield
Londýn
Srpna
Ayrshire
Lékař
Fleming
Roce
Roku
Fyziologii
První
Studia
alexander fleming
Března
Lochfield
Londýn
Srpna
Ayrshire
Lékař
Fleming
Objev
Roce
Roku
Fyziologii
První
ayrshire
Lochfield
Londýn
Srpna
Března
Lékař
Fyziologii
První
Studia
Let
Objev
Jako
Penicilinu
11. března
Lochfield
Londýn
Srpna
Lékař
Fyziologii
První
Studia
Let
Objev
Jako
Penicilinu
Jeho
nobelovu cenu za fyziologii a lékařství
Objev
Lochfield
Londýn
Srpna
Lékař
Letech
První
Studia
Let
Jako
Penicilinu
Jeho
londýn
Srpna
Lékař
Fyziologii
První
Studia
Let
Objev
Jako
Penicilinu
Jeho
první světové válce
Jako
Srpna
Mary
Studia
Války
Let
Jeho
penicilinu
Objev
Srpna
Fyziologii
Dostal
Války
Roce
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Alexander Fleming, one of the stronger structural bridges in this analysis connects Alexander Fleming with Život. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Alexander Fleming
Nodes111
Edges110
Triples58
Avg. degree1.98
Density0.018018
Components1
Source & methodology
TTTA analyzes the structure around Alexander Fleming to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Život & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
