Altmetrics

From WikiMD's Wellness Encyclopedia

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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