Altmetrics
Altmetrics[edit | edit source]
Altmetrics are alternative metrics used to measure the impact and reach of scholarly articles and research outputs. Unlike traditional metrics such as the Impact Factor or h-index, which primarily focus on citation counts, altmetrics consider a broader range of indicators, including social media mentions, news articles, policy documents, and other online platforms.
History[edit | edit source]
The term "altmetrics" was first coined in 2010 by Jason Priem, a doctoral student at the University of North Carolina at Chapel Hill. The concept emerged as a response to the limitations of traditional bibliometrics, which often fail to capture the diverse ways in which research can influence society and academia.
Components of Altmetrics[edit | edit source]
Altmetrics encompass a variety of data sources and indicators, including:
- Social Media Mentions: Tracking how often research is mentioned on platforms like Twitter, Facebook, and LinkedIn.
- News Outlets: Counting mentions in news articles and media reports.
- Policy Documents: Identifying citations in government and organizational policy documents.
- Blog Posts: Monitoring discussions in academic and non-academic blogs.
- Online Reference Managers: Usage statistics from platforms like Mendeley and Zotero.
- Wikipedia Citations: Tracking references in Wikipedia articles.
Advantages[edit | edit source]
Altmetrics offer several advantages over traditional metrics:
- Timeliness: Altmetrics can provide immediate feedback on the impact of research, often within days of publication.
- Broader Impact: They capture the influence of research beyond academia, including public engagement and policy impact.
- Diverse Outputs: Altmetrics can be applied to a wide range of research outputs, including datasets, software, and presentations.
Criticisms[edit | edit source]
Despite their advantages, altmetrics also face criticism:
- Susceptibility to Manipulation: Social media metrics can be artificially inflated through coordinated campaigns or "gaming".
- Lack of Standardization: There is no universally accepted standard for calculating altmetrics, leading to variability in results.
- Contextual Limitations: Altmetrics may not always reflect the quality or significance of research, as popularity does not equate to scholarly impact.
Applications[edit | edit source]
Altmetrics are used by researchers, institutions, and publishers to:
- Assess the broader impact of research.
- Identify emerging trends and topics in various fields.
- Complement traditional metrics in research evaluation and funding decisions.
Also see[edit | edit source]
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