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PLOS Pathogens is a peer-reviewed open-access medical journal. All content in PLOS Pathogens is published under the Creative Commons "by-attribution" license.
The analysis highlights Science and Products as prominent areas in the source structure around PLOS Pathogens.
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 PLOS Pathogens shows recurring relationship patterns in the source. For example, PLOS Pathogens → CAS, Chemical Abstracts Service, EMBASE, MEDLINE, PubMed, Science, SCOPUS, Web, Zoological Record Another extracted example is PLOS Pathogens → Editorials, Opinions, Pearls, Research Matters, Reviews. 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.
plos pathogens journal impact access metrics open-access creative commons license science open research articles publication published model content factor public
TTTA extracted 36 structured relationships around PLOS Pathogens. Examples in this analysis include PLOS Pathogens → Discipline → Biology and PLOS Pathogens → Edited by → Sumita Bhaduri-McIntosh, and Michael Malim. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| PLOS Pathogens | Discipline | Biology | 1.00 | infobox |
| PLOS Pathogens | Edited by | Sumita Bhaduri-McIntosh, and Michael Malim | 1.00 | infobox |
| PLOS Pathogens | Frequency | Weekly | 1.00 | infobox |
| PLOS Pathogens | History | 2005-present | 1.00 | infobox |
| PLOS Pathogens | Impact factor | 4.9 (2024) | 1.00 | infobox |
| PLOS Pathogens | ISO 4 | PLOS Pathog. | 1.00 | infobox |
| PLOS Pathogens | ISSN | 1553-7366 (print) 1553-7374 (web) | 1.00 | infobox |
| PLOS Pathogens | Language | English | 1.00 | infobox |
| PLOS Pathogens | LCCN | 2004216476 | 1.00 | infobox |
| PLOS Pathogens | License | Creative Commons Attribution License | 1.00 | infobox |
| PLOS Pathogens | OCLC no. | 57176478 | 1.00 | infobox |
| PLOS Pathogens | Open access | Yes | 1.00 | infobox |
| PLOS Pathogens | Publisher | Public Library of Science | 1.00 | infobox |
| PLOS Pathogens | is a | peer-reviewed open-access medical journal | 0.90 | text |
The concept neighborhoods around PLOS Pathogens bring nearby vocabulary together. In this analysis, examples include Plos, Commons and Journal. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For PLOS Pathogens, one of the stronger structural bridges in this analysis connects PLOS Pathogens 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 PLOS Pathogens to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Science & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — PLOS Pathogens · EN edition · Analysis: TopicsToTalkAbout