324 research outputs found
Multidisciplinary comparison of proceedings papers and academic books based on altmetrics and citation
Compared with journal articles, academic books and proceedings papers are underestimated and insufficient in bibliometrics studies. Nevertheless, their impacts are indispensable in the scientific communication. In the present study, we involved citation and altmetric indexes to explore the differences between academic books and proceedings papers from a multidisciplinary perspective. Results revealed that: 1) Scholars from different disciplines tend to select different knowledge carriers according to their needs and feature of their research. 2) Academic books had higher citation and altmetrics impacts than proceedings papers. Specifically, publications in MED had the best performance. 3) Of all fields, citation and altmetric indexes of books were more concentrated than those of proceedings papers. Differences also existed among six fields. 4) Citation correlated weakly with altmetric indexes of books and proceedings papers in all six fields. This study is a constructive attempt to exhibit traits of two underestimated document types on the disciplinary dimension. Altmetrics data was applied to ensure the comprehensiveness of the research
Applied Evaluative Informetrics: Part 1
This manuscript is a preprint version of Part 1 (General Introduction and
Synopsis) of the book Applied Evaluative Informetrics, to be published by
Springer in the summer of 2017. This book presents an introduction to the field
of applied evaluative informetrics, and is written for interested scholars and
students from all domains of science and scholarship. It sketches the field's
history, recent achievements, and its potential and limits. It explains the
notion of multi-dimensional research performance, and discusses the pros and
cons of 28 citation-, patent-, reputation- and altmetrics-based indicators. In
addition, it presents quantitative research assessment as an evaluation
science, and focuses on the role of extra-informetric factors in the
development of indicators, and on the policy context of their application. It
also discusses the way forward, both for users and for developers of
informetric tools.Comment: The posted version is a preprint (author copy) of Part 1 (General
Introduction and Synopsis) of a book entitled Applied Evaluative
Bibliometrics, to be published by Springer in the summer of 201
Analyzing the Impact of Companies on AI Research Based on Publications
Artificial Intelligence (AI) is one of the most momentous technologies of our
time. Thus, it is of major importance to know which stakeholders influence AI
research. Besides researchers at universities and colleges, researchers in
companies have hardly been considered in this context. In this article, we
consider how the influence of companies on AI research can be made measurable
on the basis of scientific publishing activities. We compare academic- and
company-authored AI publications published in the last decade and use
scientometric data from multiple scholarly databases to look for differences
across these groups and to disclose the top contributing organizations. While
the vast majority of publications is still produced by academia, we find that
the citation count an individual publication receives is significantly higher
when it is (co-)authored by a company. Furthermore, using a variety of
altmetric indicators, we notice that publications with company participation
receive considerably more attention online. Finally, we place our analysis
results in a broader context and present targeted recommendations to safeguard
a harmonious balance between academia and industry in the realm of AI research.Comment: Published in Scientometric
Analyzing the impact of companies on AI research based on publications
Artificial Intelligence (AI) is one of the most momentous technologies of our time. Thus, it is of major importance to know which stakeholders influence AI research. Besides researchers at universities and colleges, researchers in companies have hardly been considered in this context. In this article, we consider how the influence of companies on AI research can be made measurable on the basis of scientific publishing activities. We compare academic- and company-authored AI publications published in the last decade and use scientometric data from multiple scholarly databases to look for differences across these groups and to disclose the top contributing organizations. While the vast majority of publications is still produced by academia, we find that the citation count an individual publication receives is significantly higher when it is (co–)authored by a company. Furthermore, using a variety of altmetric indicators, we notice that publications with company participation receive considerably more attention online. Finally, we place our analysis results in a broader context and present targeted recommendations to safeguard a harmonious balance between academia and industry in the realm of AI research
Big Tech influence over AI research revisited: memetic analysis of attribution of ideas to affiliation
There exists a growing discourse around the domination of Big Tech on the
landscape of artificial intelligence (AI) research, yet our comprehension of
this phenomenon remains cursory. This paper aims to broaden and deepen our
understanding of Big Tech's reach and power within AI research. It highlights
the dominance not merely in terms of sheer publication volume but rather in the
propagation of new ideas or \textit{memes}. Current studies often oversimplify
the concept of influence to the share of affiliations in academic papers,
typically sourced from limited databases such as arXiv or specific academic
conferences.
The main goal of this paper is to unravel the specific nuances of such
influence, determining which AI ideas are predominantly driven by Big Tech
entities. By employing network and memetic analysis on AI-oriented paper
abstracts and their citation network, we are able to grasp a deeper insight
into this phenomenon. By utilizing two databases: OpenAlex and S2ORC, we are
able to perform such analysis on a much bigger scale than previous attempts.
Our findings suggest, that while Big Tech-affiliated papers are
disproportionately more cited in some areas, the most cited papers are those
affiliated with both Big Tech and Academia. Focusing on the most contagious
memes, their attribution to specific affiliation groups (Big Tech, Academia,
mixed affiliation) seems to be equally distributed between those three groups.
This suggests that the notion of Big Tech domination over AI research is
oversimplified in the discourse.
Ultimately, this more nuanced understanding of Big Tech's and Academia's
influence could inform a more symbiotic alliance between these stakeholders
which would better serve the dual goals of societal welfare and the scientific
integrity of AI research
Theories of Informetrics and Scholarly Communication
Scientometrics have become an essential element in the practice and evaluation of science and research, including both the evaluation of individuals and national assessment exercises. Yet, researchers and practitioners in this field have lacked clear theories to guide their work. As early as 1981, then doctoral student Blaise Cronin published "The need for a theory of citing" —a call to arms for the fledgling scientometric community to produce foundational theories upon which the work of the field could be based. More than three decades later, the time has come to reach out the field again and ask how they have responded to this call.
This book compiles the foundational theories that guide informetrics and scholarly communication research. It is a much needed compilation by leading scholars in the field that gathers together the theories that guide our understanding of authorship, citing, and impact
ResearchGate Social Network: Opportunities and Challenges
Introduction: ResearchGate, as one of the academic-social networks, has become a platform for scientific cooperation to promote scientific skills. A large number of researchers engage in scientific activities and share research results. This paper aims to study the ResearchGate related researches and examines its opportunities and challenges for the academic communities.
Methods: The present research is a narrative-review. The study population includes English-language articles indexed in reputable databases such as Scopus and Web of Science and articles retrieved through Google Scholar published in reputable journals.
Results: Activity in ResearchGate enhances citation indexes more than ever. According to some studies and due to the importance of citation in universities' ranking, the use of the ResearchGate professional network can lead to improving the ranking of universities in international ranking systems. However, according to former studies, there are drawbacks to this network, and it is necessary for the scientific communities to use the benefits of this network consciously.
Conclusion: Familiarity with the opportunities and challenges of applying ResearchGate can provide relevant information to authorities to make informed decisions about using this social network in academic communities
Theories of Informetrics and Scholarly Communication
Scientometrics have become an essential element in the practice and evaluation of science and research, including both the evaluation of individuals and national assessment exercises. Yet, researchers and practitioners in this field have lacked clear theories to guide their work. As early as 1981, then doctoral student Blaise Cronin published The need for a theory of citing - a call to arms for the fledgling scientometric community to produce foundational theories upon which the work of the field could be based. More than three decades later, the time has come to reach out the field again and ask how they have responded to this call. This book compiles the foundational theories that guide informetrics and scholarly communication research. It is a much needed compilation by leading scholars in the field that gathers together the theories that guide our understanding of authorship, citing, and impact
Theories of Informetrics and Scholarly Communication
Scientometrics have become an essential element in the practice and evaluation of science and research, including both the evaluation of individuals and national assessment exercises. Yet, researchers and practitioners in this field have lacked clear theories to guide their work. As early as 1981, then doctoral student Blaise Cronin published "The need for a theory of citing" —a call to arms for the fledgling scientometric community to produce foundational theories upon which the work of the field could be based. More than three decades later, the time has come to reach out the field again and ask how they have responded to this call.
This book compiles the foundational theories that guide informetrics and scholarly communication research. It is a much needed compilation by leading scholars in the field that gathers together the theories that guide our understanding of authorship, citing, and impact
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