Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

PubMed: Characters, Art, Measurement & Science

PubMed is an openly accessible, free database which primarily includes the MEDLINE database of references and abstracts on life sciences and biomedical topics. The United States National Library of Medicine (NLM) at the National Institutes of Health maintains the database as part of the Entrez system of information retrieval.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

PubMed topic overview

The analysis highlights Characters, Art, Measurement and Science as prominent areas in the source structure around PubMed.

Related topics
46
Source areas
5
Connected nodes
51
Extracted relationships
115
Concept neighborhoods
17
Bridge connections
51

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.

Overview · 13 topics
Data mining of PubMed · 9 topics
Alternative interfaces · 8 topics
Characteristics · 8 topics
Content · 8 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.

Release date
January 1996; 30 years ago (1996-01)
Research center
United States National Library of Medicine (NLM)

Explore all related topics Closing gaps

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.

Overview

Content

Characteristics

Alternative interfaces

Data mining of PubMed

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How PubMed connects Entity context

The extracted context around PubMed shows recurring relationship patterns in the source. For example, PubMed → As, Dialog, EBSCO, Embase, Knowledge Finder, Lu, Medicine, MEDLINE, NLM, October, Ovid, The National Library, United States, Web-based PubMed Another extracted example is PubMed → Best Match, By, First Author, Google-like, January, Journal, Last Author, May, Most Recent, October, Publication Date, The PubMed, There, Title. Use these groups to spot repeated connection types before inspecting the individual relationships.

PubMed

Top relations

related to Alternative interfaces · 14
PubMed → As, Dialog, EBSCO, Embase, Knowledge Finder, Lu, Medicine, MEDLINE, NLM, October, Ovid, The National Library, United States, Web-based PubMed
related to Website design · 14
PubMed → Best Match, By, First Author, Google-like, January, Journal, Last Author, May, Most Recent, October, Publication Date, The PubMed, There, Title
related to Content · 12
PubMed → Annals, BMJ, Bookshelf, In, Index Medicus, Medical Subject Headings, MEDLINE, MEDLINEa, MeSH, NLM, Science, Surgeryvery
related to LinkOut · 12
PubMed → Aalborg University, Denmark, Link, LinkOut, March, NLM, Outside Tool, Seattle, Some, Summer, Users, ZymoGenetics
related to Data mining of PubMed · 10
PubMed → Alternative, Code, December, For, FTP, In, Matlab, Python, The, XML
related to Mapping to MeSH · 9
PubMed → Auto Term Mapping, Cancer, Examples, MeSH, Nursing, Subheading, Terms, This, Where
see also · 8
PubMed → CentralPubMed Central CanadaGrateful Med, Europe PubMed CentralJournalReview, Find, If, MeSH, NCBI Entrez, The, To
related to PubMed identifier · 5
PubMed → PMCID, PMID, PMIDs, PubMed Central, The
related to PubMed Commons · 4
PubMed → In, In February, PubMed Commons, This
related to askMEDLINE · 3
PubMed → As, It, MEDLINE/PubMed

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

search medline free database mesh nlm articles using data ncbi use access journal also journals available citation terms pmid clinical

PubMed relationships Subject–Predicate–Object triples

TTTA extracted 115 structured relationships around PubMed. Examples in this analysis include PubMed → Release date → January 1996; 30 years ago (1996-01) and PubMed → Research center → United States National Library of Medicine (NLM). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
PubMedRelease dateJanuary 1996; 30 years ago (1996-01)1.00infobox
PubMedResearch centerUnited States National Library of Medicine (NLM)1.00infobox
PubMedWebsitepubmed.ncbi.nlm.nih.gov1.00infobox
PubMedis aopenly accessible0.90text
Embaseinstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text
Ovidinstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text
Dialoginstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text
EBSCOinstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text
Knowledge Finderinstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text
many other commercialinstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text
non-commercialinstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text
and academic providersinstance ofAlternative interfacesThe National Library of Medicine leases the MEDLINE information to a number of private vendors0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around PubMed bring nearby vocabulary together. In this analysis, examples include Search, Using and Journals. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • PubMed
    • Search
    • Using
    • Journals
    • Data
    • Articles
    • Searches
    • Access
    • Citation
    • Nlm
    • Central
    • Available
    • Use
  • pubmed
    • Search
    • Using
    • Journals
    • Data
    • Articles
    • Searches
    • Access
    • Citation
    • Nlm
    • Central
    • Available
    • Use
  • medline
    • Nlm
    • Pubmed
    • Using
    • Available
    • Journals
    • Data
    • References
    • Article
    • Information
    • Library
    • Medicine
    • National
  • united states national library of medicine
    • Medicine
    • National
    • Information
    • Nlm
    • References
    • System
    • Website
    • Article
    • Links
    • Medline
    • Central
    • Headings
  • national institutes of health
    • Information
    • Nlm
    • References
    • System
    • Website
    • Article
    • Links
    • Central
    • Headings
    • Indexed
    • Ncbi
    • Publication
  • medical subject headings
    • Mesh
    • Articles
    • Terms
    • Using
    • References
    • Search
    • Website
    • Library
    • Links
    • Medicine
    • Medline
    • National
  • pubmed central
    • Journals
    • Website
    • Identifier
    • Data
    • Search
    • Using
    • References
    • Articles
    • Library
    • Links
    • Medicine
    • National
  • europe pubmed central
    • Journals
    • Website
    • Identifier
    • Data
    • Search
    • Using
    • References
    • Articles
    • Library
    • Links
    • Medicine
    • National

Connections between topic areas Semantic bridges

For PubMed, one of the stronger structural bridges in this analysis connects PubMed 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.

Min side: 3
PubMed — Overview · splits 38 ⟂ 14
PubMed — Data mining of PubMed · splits 42 ⟂ 10
PubMed — Content · splits 43 ⟂ 9
PubMed — Characteristics · splits 43 ⟂ 9
PubMed — Alternative interfaces · splits 43 ⟂ 9

Map overview Semantic statistics

PubMed

Nodes52
Edges51
Triples115
Avg. degree1.96
Density0.038462
Components1

Source & methodology

TTTA analyzes the structure around PubMed to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Characters, Art, Measurement & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — PubMed · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.