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How Doctors Think is a book released in March 2007 by Jerome Groopman, the Dina and Raphael Recanati Chair of Medicine at Harvard Medical School, chief of experimental medicine at Beth Israel Deaconess Medical Center in Boston, and staff writer for The New Yorker magazine.
The analysis highlights Literary Connections, The availability heuristic and Disregard of uncertainty as prominent areas in the source structure around How Doctors Think.
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.
A focused starting point derived from the topic graph, ranked independently of the source article order.
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 How Doctors Think shows recurring relationship patterns in the source. For example, How Doctors Think → Jerome Groopman Another extracted example is How Doctors Think → 610 22. 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.
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TTTA extracted 15 structured relationships around How Doctors Think. Examples in this analysis include How Doctors Think → Author → Jerome Groopman and How Doctors Think → Dewey Decimal → 610 22. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| How Doctors Think | Author | Jerome Groopman | 1.00 | infobox |
| How Doctors Think | Dewey Decimal | 610 22 | 1.00 | infobox |
| How Doctors Think | Followed by | Your Medical Mind | 1.00 | infobox |
| How Doctors Think | Genre | Non-fiction | 1.00 | infobox |
| How Doctors Think | ISBN | .mw-parser-output cite.citation{font-style:inherit;word-wrap:break-word}.mw-parser-output .citation q{quotes:"\"""\"""'""'"}.mw-parser-output .citation:target{background-color:r… | 1.00 | infobox |
| How Doctors Think | Language | English | 1.00 | infobox |
| How Doctors Think | LC Class | R723.5 .G75 2007 | 1.00 | infobox |
| How Doctors Think | Media type | Hardback | 1.00 | infobox |
| How Doctors Think | OCLC | 74569241 | 1.00 | infobox |
| How Doctors Think | Pages | 305 pp (first edition, hardback) | 1.00 | infobox |
| How Doctors Think | Preceded by | Anatomy of Hope | 1.00 | infobox |
| How Doctors Think | Publication date | 2007 | 1.00 | infobox |
| How Doctors Think | Publication place | United States | 1.00 | infobox |
| How Doctors Think | Publisher | Houghton Mifflin | 1.00 | infobox |
| How Doctors Think | is a | book released in March 2007 by Jerome Groopman | 0.90 | text |
The concept neighborhoods around How Doctors Think bring nearby vocabulary together. In this analysis, examples include Book, Center and Diseases. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For How Doctors Think, one of the stronger structural bridges in this analysis connects How Doctors Think with The availability heuristic. 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 How Doctors Think to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Literary Connections, The availability heuristic & Disregard of uncertainty, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — How Doctors Think · EN edition · Analysis: TopicsToTalkAbout