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Scirus: Science & Overview

Scirus was a comprehensive science-specific search engine, first launched in 2001. Like CiteSeerX and Google Scholar, it was focused on scientific information. Unlike CiteSeerX, Scirus was not only for computer sciences and IT and not all of the results included full text. It also sent its scientific search results to Scopus, an abstract and citation…

Language: English [EN]
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Scirus topic overview

The analysis highlights Science and Overview as prominent areas in the source structure around Scirus.

Related topics
4
Source areas
1
Connected nodes
5
Extracted relationships
10
Concept neighborhoods
6
Bridge connections
5

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 · 4 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.

Disciplines
Life Sciences; Social Sciences; Physical Sciences; Health Sciences
Geospatial coverage
Worldwide
Languages
English
No. of records
167 million pages
Providers
Elsevier
Temporal coverage
2001-2014

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

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 Scirus connects Entity context

The extracted context around Scirus shows recurring relationship patterns in the source. For example, Scirus → Deprecated, Gale Reference Reviews, Péter's Digital Reference Shelf Another extracted example is Scirus → Life Sciences; Social Sciences; Physical Sciences; Health Sciences. Use these groups to spot repeated connection types before inspecting the individual relationships.

Scirus

Top relations

related to External links · 3
Scirus → Deprecated, Gale Reference Reviews, Péter's Digital Reference Shelf
Disciplines · 1
Scirus → Life Sciences; Social Sciences; Physical Sciences; Health Sciences
Geospatial coverage · 1
Scirus → Worldwide
Languages · 1
Scirus → English
No. of records · 1
Scirus → 167 million pages
Providers · 1
Scirus → Elsevier
Temporal coverage · 1
Scirus → 2001-2014
Website · 1
Scirus → www.scirus.com

Important terminology

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

Important terminology

citeseerx search elsevier scientific results also sciences homepage scopus comprehensive science-specific engine first launched 2001 like google scholar focused information

Scirus relationships Subject–Predicate–Object triples

TTTA extracted 10 structured relationships around Scirus. Examples in this analysis include Scirus → Disciplines → Life Sciences; Social Sciences; Physical Sciences; Health Sciences and Scirus → Geospatial coverage → Worldwide. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
ScirusDisciplinesLife Sciences; Social Sciences; Physical Sciences; Health Sciences1.00infobox
ScirusGeospatial coverageWorldwide1.00infobox
ScirusLanguagesEnglish1.00infobox
ScirusNo. of records167 million pages1.00infobox
ScirusProvidersElsevier1.00infobox
ScirusTemporal coverage2001-20141.00infobox
ScirusWebsitewww.scirus.com1.00infobox
Scirusrelated to External linksDeprecated0.60section
Scirusrelated to External linksPéter's Digital Reference Shelf0.60section
Scirusrelated to External linksGale Reference Reviews0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Scirus bring nearby vocabulary together. In this analysis, examples include Elsevier, Homepage and Sciences. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Scirus
    • Elsevier
    • Homepage
    • Sciences
    • Citeseerx
    • Search
    • Announcement
    • Announcing
    • Appeared
    • Computer
    • Engine
    • First
    • Full
  • scirus
    • Elsevier
    • Homepage
    • Sciences
    • Citeseerx
    • Search
    • Announcement
    • Announcing
    • Appeared
    • Computer
    • Engine
    • First
    • Full
  • citeseerx
    • Sciences
    • Computer
    • Focused
    • Full
    • Google
    • Included
    • Information
    • Like
    • Scholar
    • Scirus
    • Text
    • Unlike
  • scopus
    • Citation
    • Covering
    • Database
    • Globally
    • Output
    • Research
    • Sent
    • Search
  • elsevier
    • Operated
    • Owned
    • Scirus
    • Homepage
    • Sciences
    • Search
  • google scholar
    • Focused
    • Information
    • Like
    • Scholar
    • Scientific

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Scirus map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Scirus

Nodes6
Edges5
Triples10
Avg. degree1.67
Density0.333333
Components1

Source & methodology

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

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

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