Sketching the first 45 years of the journal <i>Psychophysiology</i> (1964–2008): A co‐word‐based analysis

Objectics: The evolution of research activity during the last thirty years on regenerative periodontal surgery is studied. Results: A small number of authors are highly productive with more than 10 publications on the subject each. 79,6% of authors have only produced one article on the subject. The co-authorship average is of 2,68 authors per paper, with a collaboration between 2 and 6 authors. Main journals on the field of regenerative periodontal surgery are Journal of Periodontology and Journal of Clinical Periodontology, which are ranked 14th and 1st in their category according to the Journal Citations Reports. The most used language is English, followed by Japanese and Italian, Spanish occupying the eighth position. Conclusions: A significant increase on scientific literature is observed, similar to the one Dentistry has had. A reduced number of authors account for most production. In the same token, there is a scarce professionalization of researchers in this field, where most of the authors are occasional. On the other hand, there are two very specialized journals on this topic. Key words:Bibliometrics, scientometrics periodontal regeneration, surgical periodontal treatment, scientific literature, scopus, scientific output.

show abstract

“…Similar studies have been conducted in disciplines such as Psychology (17,18), Medicine (19,20) or Education (21,22). …”

Section: Introductionmentioning

confidence: 60%

Bibliometric analysis of research on regenerative periodontal surgery during the last 30 years

Gutiérrez-Vela¹,

Díaz-Haro²,

Berbel-Salvador³

et al. 2012

J Clin Exp Dent

View full text Add to dashboard Cite

show abstract

“…Coword cluster is based on the hypothesis that a specific field consists of series of scientific articles with marked keywords. The frequency of the co‐occurrence of these keywords reflects the similarities between different articles . Scientific articles with similarities could be clustered into a plot, and different plots could form a coword clustering graph, representing the hot topics relevant to the specific research field …”

Section: Methodsmentioning

confidence: 99%

The Quantitative Evaluation of the Clinical and Translational Science Awards (CTSA) Program Based on Science Mapping and Scientometric Analysis

Zhang¹,

Wang²,

Tian-xi³

2013

Clinical Translational Sci

View full text Add to dashboard Cite

The Clinical and Translational Science Awards (CTSA) program is one of the most important initiatives in translational medical funding. The quantitative evaluation of the efficiency and performance of the CTSA program has a significant referential meaning for the decision making of global translational medical funding. Using science mapping and scientometric analytic tools, this study quantitatively analyzed the scientific articles funded by the CTSA program. The results of the study showed that the quantitative productivities of the CTSA program had a stable increase since 2008. In addition, the emerging trends of the research funded by the CTSA program covered clinical and basic medical research fields. The academic benefits from the CTSA program were assisting its members to build a robust academic home for the Clinical and Translational Science and to attract other financial support. This study provided a quantitative evaluation of the CTSA program based on science mapping and scientometric analysis. Further research is required to compare and optimize other quantitative methods and to integrate various research results. Clin Trans Sci 2013; Volume 6: 452-457

show abstract

“…Early research applied co-word analysis on titles or keywords of academic papers. By applying co-word analysis, researchers have revealed the development of concepts (Ronda-Pupo & Guerras-Martin, 2012), a subject (Keupp, Palmié , & Gassmann, 2012), a method (Noyons & van Raan, 1998), or a domain (Baldwin et al, 2003;Blooma et al, 2009;Coulter, Monarch, & Konda, 1998;Jiang et al, 2012;Vala, Lima, & Caetano, 1996;Viedma-Del-Jesus et al, 2011). In addition, co-word analysis is also widely used in finding hot topics (Hu, Liu, & Li, 2013;Peng & Wei, 2012) and hidden topics (Milojević et al, 2011;Muñoz-Leiva et al, 2012).…”

Section: Application Of Co-word Analysismentioning

confidence: 99%

Random walk on co‐word network: Ranking terms using structural features

Chiu

Lü

2015

Proc. Assoc. Info. Sci. Tech.

View full text Add to dashboard Cite

This study proposes a weighted random walk method on co-word networks to identify important themes of a field using structural features of the networks. The goal is to test whether the weighted random walk method can be used to produce meaningful results on co-word networks. In addition, we examined the relationships among the results from the random walk method and other two common metrics for identifying important themes in a field: frequency and point centrality. Using a dataset of 17K bibliographic records for the articles in the LIS field from the Web of Science, our results indicate that all three measures are significantly correlated. A detailed comparison of the top terms ranked by the three metrics from the years of 2002-2006 and 2007-2012 is provided. The results show that the three measures are generally similar in revealing hotspots and development of the field. However, some noticeable differences are also found. The random walk method boosted the rankings of some lower ranked terms in the other two metrics (e.g. "universe", "servic" and "develop") due to their cooccurrences with top ranked terms (e.g. "information"). The findings of this study help to understand the use of random walk method on co-word networks. KeywordsCo-word analysis, random walk, co-word network.

show abstract

Sketching the first 45 years of the journal Psychophysiology (1964–2008): A co‐word‐based analysis

Cited by 73 publications

References 18 publications

Bibliometric analysis of research on regenerative periodontal surgery during the last 30 years

Bibliometric analysis of research on regenerative periodontal surgery during the last 30 years

The Quantitative Evaluation of the Clinical and Translational Science Awards (CTSA) Program Based on Science Mapping and Scientometric Analysis

Random walk on co‐word network: Ranking terms using structural features

Contact Info

Product

Resources

About