SCI
E79993
SCI is a widely used citation indexing service that tracks and analyzes references in leading scientific journals to assess research impact and influence.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SCI canonical | 2 |
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
bibliographic database
ⓘ
citation index ⓘ citation indexing service ⓘ |
| abbreviation | SCI self-linksurface differs ⓘ |
| accessModel | subscription-based ⓘ |
| covers |
leading scientific journals
ⓘ
peer-reviewed journals ⓘ |
| creator | Eugene Garfield ⓘ |
| dataUsedBy |
Journal Citation Reports
ⓘ
funding agencies ⓘ research evaluation systems ⓘ university rankings ⓘ |
| enables |
analysis of research trends
ⓘ
identification of influential authors ⓘ identification of influential papers ⓘ tracking of citation networks ⓘ |
| field |
natural sciences
ⓘ
science and technology ⓘ |
| focusesOn | high-impact journals ⓘ |
| hasAlternativeName |
Science Citation Index
ⓘ
surface form:
SCI database
|
| hasEdition |
Science Citation Index
ⓘ
surface form:
Science Citation Index Expanded
|
| hasMetricDerivedFromData | Journal Impact Factor ⓘ |
| indexingType | citation indexing ⓘ |
| language | primarily English ⓘ |
| maintainedBy |
Clarivate Analytics
ⓘ
surface form:
Clarivate
Clarivate Analytics ⓘ |
| originallyDevelopedBy |
ISI
ⓘ
Clarivate Analytics ⓘ
surface form:
Institute for Scientific Information
|
| partOf | Web of Science ⓘ |
| provides |
citation counts
ⓘ
citation links between articles ⓘ reference lists ⓘ |
| supports |
literature search
ⓘ
research performance analysis ⓘ systematic reviews ⓘ |
| timeCoverage | from 20th century to present ⓘ |
| tracks |
citations in scientific journals
ⓘ
references in scientific articles ⓘ |
| usedBy |
librarians
ⓘ
policy makers ⓘ research managers ⓘ researchers ⓘ |
| usedFor |
assessment of research impact
ⓘ
assessment of research influence ⓘ bibliometric analysis ⓘ evaluation of institutions ⓘ evaluation of journals ⓘ evaluation of researchers ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: SCI Description of subject: SCI is a widely used citation indexing service that tracks and analyzes references in leading scientific journals to assess research impact and influence.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Science Citation Index