Quantitative Science Studies
Scope & Guideline
Advancing the Frontiers of Quantitative Research
Introduction
Aims and Scopes
- Bibliometrics and Scientometrics:
The journal emphasizes the quantitative analysis of scientific literature and research outputs, employing bibliometric and scientometric methods to assess research impact, citation patterns, and the development of scientific fields. - Open Science and Research Transparency:
There is a strong focus on the principles of open science, including open access publishing, data sharing, and the transparency of research processes. This includes discussions on the implications of these practices for academic integrity and accessibility. - Interdisciplinary Research Dynamics:
The journal explores the interplay between various disciplines, highlighting the motivations, challenges, and impacts of interdisciplinary collaborations on research outcomes and societal benefits. - Policy and Governance in Science:
Research related to science policy, governance, and the influence of scientific research on public policy is a key area of focus, examining how scientific knowledge informs decision-making processes. - Social Dimensions of Science:
The journal investigates the sociocultural aspects of science, including gender disparities, equity in research funding, and the societal impacts of scientific advancements.
Trending and Emerging
- Altmetrics and Social Media Influence:
There is a significant increase in studies examining the impact of social media on research dissemination and citation practices, reflecting a growing interest in how public engagement with science affects academic visibility and influence. - The Role of Data in Research:
Research focusing on data management, data sharing practices, and the implications of open data has gained traction, emphasizing the importance of data transparency and reproducibility in scientific research. - Sustainability and the United Nations Sustainable Development Goals (SDGs):
The exploration of research contributions to sustainability and SDGs has become a prominent theme, highlighting the importance of aligning scientific research with global challenges and societal needs. - Machine Learning and AI in Research Evaluation:
The application of machine learning and AI techniques for analyzing scientific publications, citation behaviors, and research impact is trending, indicating a shift towards more sophisticated analytical tools in bibliometrics. - Interdisciplinary Collaboration and Innovation:
There is a growing emphasis on understanding the motivations, outcomes, and challenges of interdisciplinary research, as collaborations across disciplines become increasingly essential for addressing complex scientific problems.
Declining or Waning
- Traditional Citation Analysis:
While citation analysis remains relevant, the focus on traditional metrics such as the h-index and impact factors has decreased as researchers increasingly seek alternative metrics that reflect broader impacts and societal relevance. - Static Research Evaluation Methods:
There is a noticeable decline in interest toward static evaluation methods that do not account for the dynamic nature of scientific research and collaboration, as more studies emphasize the need for adaptable and context-sensitive approaches. - Narrowly Focused Gender Studies:
Research solely focused on gender disparities in science, while still important, has seen reduced frequency. Scholars are now more inclined to address gender issues within broader discussions of equity and diversity in science.
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