PeerJ

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PeerJ topic overview

The analysis highlights Science and Art as prominent areas in the source structure around PeerJ.

Related topics: 49
Source areas: 4
Connected nodes: 55
Extracted relationships: 61
Concept neighborhoods: 18
Bridge connections: 55

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.

Reception · 21 topics

Overview · 19 topics

Business model · 7 topics

Computer science and chemistry journals · 2 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.

Publisher: PeerJ
Discipline: Biology, medicine
Edited by: Jason Hoyt · Peter Binfield
Frequency: Upon acceptance
History: 2013–present
Impact factor: 3.061 (2021)

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

For profit For-profit corporation
Open access
Peer-reviewed
Scientific Scientific journal
Mega journal
Biological Life science
Medical sciences Medical science
Taylor & Francis
Mendeley
PLOS One
O'Reilly Media
Sage Publishing
CrossRef
CLOCKSS
ORCID
Open Access Scholarly Publishers Association
Corte Madera Corte Madera, California
London
PLoS ONE
Peer reviews to be published Open peer review

Business model

For profit For profit company
Business model
Publication fees Article Processing Charge
Preprint
Cloud Cloud computing
Amazon EC2
Amazon S3
Article processing charges Article processing charge

Computer science and chemistry journals

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 PeerJ connects Entity context

The extracted context around PeerJ shows recurring relationship patterns in the source. For example, PeerJ → According, ACS, AGORA, American Chemical Society, ARDI, CAB Abstracts, DOAJ, EMBASE, Europe PubMed Central, Google Scholar, Higher Education, HINARI, In April, Jason Hoyt, Journal Citation Reports, OARE, OCLC, PeerJ CEO, ProQuest, PubMed Another extracted example is PeerJ → February, May, November, On, PeerJ Analytical Chemistry, PeerJ Computer Science, PeerJ Inorganic Chemistry, PeerJ Materials Science, PeerJ Organic Chemistry, PeerJ Physical Chemistry, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Reception · 28

PeerJ → According, ACS, AGORA, American Chemical Society, ARDI, CAB Abstracts, DOAJ, EMBASE, Europe PubMed Central, Google Scholar, Higher Education, HINARI, In April, Jason Hoyt, Journal Citation Reports, OARE, OCLC, PeerJ CEO, ProQuest, PubMed

related to Computer science and chemistry journals · 11

PeerJ → February, May, November, On, PeerJ Analytical Chemistry, PeerJ Computer Science, PeerJ Inorganic Chemistry, PeerJ Materials Science, PeerJ Organic Chemistry, PeerJ Physical Chemistry, The

related to Business model · 7

PeerJ → Amazon EC2, Amazon S3, April, Originally, PeerJ Preprints, September, The

Edited by · 2

PeerJ → Jason Hoyt, Peter Binfield

related to External links · 2

PeerJ → Official, PrePrintsPeerJ Computer Science

Discipline · 1

PeerJ → Biology, medicine

Frequency · 1

PeerJ → Upon acceptance

History · 1

PeerJ → 2013–present

Impact factor · 1

PeerJ → 3.061 (2021)

ISO 4 · 1

PeerJ → PeerJ

Important terminology

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

Important terminology

journal publisher one access research published science 2013 open article launched publishing computer scientific jason hoyt per membership year traditional

PeerJ relationships Subject–Predicate–Object triples

TTTA extracted 61 structured relationships around PeerJ. Examples in this analysis include PeerJ → Discipline → Biology, medicine and PeerJ → Edited by → Jason Hoyt. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
PeerJ	Discipline	Biology, medicine	1.00	infobox
PeerJ	Edited by	Jason Hoyt	1.00	infobox
PeerJ	Edited by	Peter Binfield	1.00	infobox
PeerJ	Frequency	Upon acceptance	1.00	infobox
PeerJ	History	2013–present	1.00	infobox
PeerJ	Impact factor	3.061 (2021)	1.00	infobox
PeerJ	ISO 4	PeerJ	1.00	infobox
PeerJ	ISSN	2167-8359	1.00	infobox
PeerJ	Language	English	1.00	infobox
PeerJ	License	CC BY	1.00	infobox
PeerJ	OCLC no.	793828439	1.00	infobox
PeerJ	Open access	Yes	1.00	infobox
PeerJ	Publisher	PeerJ	1.00	infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around PeerJ bring nearby vocabulary together. In this analysis, examples include Article, Computer and Publishing. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

PeerJ
- Article
- Computer
- Publishing
- Publisher
- Science
- Journal
- Hoyt
- Jason
- Preprints
- Access
- Launched
- Year
peerj
- Article
- Computer
- Publishing
- Publisher
- Science
- Journal
- Hoyt
- Jason
- Preprints
- Access
- Launched
- Year
mega journal
- February
- Profit
- Launched
- Per
- Peerj
- Science
- First
- Originally
- Scientific
- Subscription
- Authors
- Open
journal citation reports
- February
- Profit
- Launched
- Per
- Peerj
- Science
- First
- Originally
- Scientific
- Subscription
- Authors
- Open
open access scholarly publishers association
- Access
- Open
- Profit
- Publishers
- Publishing
- Publisher
- Binfield
- Firm
- Peter
- Scientific
- Subscription
- Journal
open access
- Access
- Open
- Profit
- Publishers
- Publisher
- Binfield
- Firm
- Peter
- Scientific
- Journal
- Hoyt
- Jason
computer science
- Computer
- Science
- Launched
- Peerj
- February
- First
- Journal
- Peter
- Binfield
- Hoyt
- Jason
- May
computer science and chemistry journals
- Computer
- Science
- Launched
- Peerj
- February
- First
- Journal
- Peter
- Binfield
- Hoyt
- Jason
- May

Connections between topic areas Semantic bridges

For PeerJ, one of the stronger structural bridges in this analysis connects PeerJ with Reception. 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

PeerJ — Reception · splits 34 ⟂ 22

PeerJ — Overview · splits 35 ⟂ 21

PeerJ — Business model · splits 47 ⟂ 9

PeerJ — Computer science and chemistry journals · splits 53 ⟂ 3

Map overview Semantic statistics

PeerJ

Nodes56

Edges55

Triples61

Avg. degree1.96

Density0.035714

Components1

Source & methodology

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

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