# informetrics

> study of the quantitative aspects of information

**Wikidata**: [Q355654](https://www.wikidata.org/wiki/Q355654)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Informetrics)  
**Source**: https://4ort.xyz/entity/informetrics

## Summary  
Informetrics is the study of the quantitative aspects of information, focusing on measuring and analyzing data related to information production, dissemination, and usage. It is a subfield of information science and overlaps with bibliometrics, scientometrics, and cybermetrics. Researchers use informetrics to understand patterns in scholarly communication, citation networks, and digital information flows.

## Key Facts  
- **Parent Field**: Informetrics is a subclass of information science, which deals with the analysis, storage, and dissemination of information.  
- **Related Fields**: Includes bibliometrics (statistical analysis of publications), scientometrics (study of science measurement), and cybermetrics (web-based metrics).  
- **GND ID**: 4325952-2 (German National Library identifier).  
- **ANZSRC Codes**: Classified under 080705 (2008) and 461005 (2020) in Australian research categorizations.  
- **Aliases**: Also known as "Infometrie" in some contexts.  
- **Different From**: Distinct from librametrics, which focuses on library-specific metrics.  
- **Tools Used**: Includes Price’s law and software like the HIRMEOS metrics suite (inception: 2018).  
- **Notable Researcher**: Fakhri Momeni, an information scientist and computer scientist, contributes to this field.  

## FAQs  
### Q: How does informetrics differ from bibliometrics?  
A: Informetrics broadly studies quantitative aspects of information, while bibliometrics specifically analyzes written publications like books and articles.  

### Q: What practical applications does informetrics have?  
A: It helps track research impact, map citation networks, and evaluate digital information trends, aiding universities and policymakers.  

### Q: Is informetrics related to data science?  
A: While both involve data analysis, informetrics focuses on information-related metrics, whereas data science covers broader computational methods.  

## Why It Matters  
Informetrics provides critical tools for understanding how information spreads and influences academia, technology, and society. By analyzing citation patterns, publication trends, and digital footprints, it helps institutions measure research impact, optimize knowledge dissemination, and allocate resources effectively. Its applications range from academic evaluations to policymaking, making it indispensable in the information age. Overlapping with fields like scientometrics, it also bridges gaps between traditional and digital research methods.  

## Notable For  
- **Interdisciplinary Scope**: Combines insights from information science, statistics, and computer science.  
- **Quantitative Focus**: Specializes in measurable aspects of information, unlike qualitative approaches.  
- **Software Integration**: Utilizes tools like HIRMEOS for open-source metric analysis.  
- **Global Recognition**: Recognized in research classification systems (e.g., ANZSRC, GND).  

## Body  
### Definition and Scope  
- Informetrics quantifies information processes, including production, dissemination, and usage.  
- Subfields include bibliometrics (publications), scientometrics (science measurement), and cybermetrics (web data).  

### Classification and Identifiers  
- **GND ID**: 4325952-2 (German National Library).  
- **ANZSRC Codes**: 080705 (2008), 461005 (2020).  
- **Aliases**: "Infometrie" in non-English contexts.  

### Tools and Methods  
- Applies Price’s law to analyze productivity distributions.  
- Uses HIRMEOS metrics suite (launched in 2018) for open-access publishing metrics.  

### Distinctions  
- Differs from librametrics, which focuses on library-specific data.  

### Research and Contributors  
- Fakhri Momeni is a notable researcher in informetrics and information science.  

## Schema Markup  
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "Informetrics",
  "description": "Study of the quantitative aspects of information.",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q1663289",
    "https://en.wikipedia.org/wiki/Informetrics"
  ],
  "additionalType": "Information Science"
}

## References

1. Freebase Data Dumps. 2013
2. Quora
3. [Source](https://www.abs.gov.au/AUSSTATS/abs@.nsf/DetailsPage/1297.02008?OpenDocument)
4. [Source](https://vocabs.ardc.edu.au/viewById/316)
5. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)
6. Wikibase TDKIV