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Mapping and clustering analysis on neuroscience literature in Turkey: a bibliometric analysis from 2000 to 2017

Scientometrics volume 121, pages 1339–1366 (2019)Cite this article

Abstract

This study is aim to determine significant changes and trends in neuroscience literature concerning Medical Subject Headings (MeSH) from 2000 to 2017. This article encourage researchers to help identify perhaps the most influential studies and combine detailed evidence into study-considered higher education. To our knowledge and understanding, almost no study found alterations in neuroscientific literature during the last decade in Turkey. In this study, the main aim is to present a science map of “Neuroscience literature”, is a growing field of research in Turkey. This study explores maps of scientific publications related to research in Neuroscience that accuracy of clustering and classification of scientific fields is enhanced by incorporation of algorithms and main bibliometric analysis. Data were extracted from the Web of Science (WoS) database and matched with PubMed database via PubMed ID. Only articles published in journals classified under the Web of science category (WC) “Neurosciences” over the period of interest were included. MeSH term, abstract fields and references of each included publication were extracted and analyzed via Bibliotools software to identify recurring terms with high relative citation scores. MeSH term maps were produced for publications over the study period to illustrate the extent of co-occurrence, and the impact of terms was evaluated based on their relative citation scores. To further describe the recent research priority or “hot spots,” MeSH terms, Journals, authors with the highest relative citation scores were identified annually. We focused on two successive periods: in 2000–2007 there are 1807 publications in WoS and 1510 publications in the bibliographic coupling (BC). 1291 publications gathered in 16 top clusters and 1103 publications gathered in 47 subtop clusters. In 2008–2017: there are 3668 publications in WoS, 3312 publications in the BC network. 2924 publications gathered in 20 top clusters and 2500 publications gathered in 87 subtop clusters. In the corpus description interface, interactive tools are used to explore the nature of the two studied corpora by listing MeSH terms, references, categories, authors, journals, institutions, countries, etc. by frequency of use. In the BC interface, interactive tools are used to explore the multiple dimensions of the topics (or clusters) unveiled by our analysis. The two periods were studied independently, and although we use matching colors for topics that obviously correspond to one another from one-time period to another. We focused on two successive periods: in 2000–2007 there are 1807 publications in WoS and 1510 publications in the bibliographic coupling (BC). 1291 publications gathered in 16 top clusters and 1103 publications gathered in 47 subtop clusters. In 2008–2017: there are 3668 publications in WoS, 3312 publications in the BC network. 2924 publications gathered in 20 top clusters and 2500 publications gathered in 87 subtop clusters. In the corpus description interface, interactive tools are used to explore the nature of the two studied corpora by listing MeSH terms, references, categories, authors, journals, institutions, countries, etc. by frequency of use. In the BC interface, interactive tools are used to explore the multiple dimensions of the topics (or clusters) unveiled by our analysis. The two periods were studied independently, and although we use matching colors for topics that obviously correspond to one another from one-time period to another. In recent years, because of an increase in the size of the aging population, the trend of neuroscience research has been increased. Neuroscience is currently the fastest growing area in basic scientific research. This paper gives a contemporary summary to scientists and medical professionals interested in research and innovation in this field. Furthermore, Neuroscience research plays a vital role in the development of instruments categories of emerging medical technology. It is clear that this paper helps researchers who study the neuroscience to recognize significant changes and trends in the literature of neurosciences.

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Acknowledgements

Funding was provided by Türkiye Bilimsel ve Teknolojik Araştirma Kurumu (Grant No. 1059B141601141)

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Authors and Affiliations

  1. Department of Health Informatics, Middle East Technical University, Ankara, Turkey

    Murat Kocak

  2. Departamento de Biblioteconomia y Documentacion, Universidad Carlos III de Madrid, Madrid, Spain

    Carlos García-Zorita, Sergio Marugán-Lázaro & Elías Sanz-Casado

  3. Department of Cognitive Science, Middle East Technical University, Ankara, Turkey

    Murat Perit Çakır

  4. Scientific and Technological Research Council of Turkey (TUBITAK), Ankara, Turkey

    Murat Kocak

Authors
  1. Murat Kocak
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  2. Carlos García-Zorita
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  3. Sergio Marugán-Lázaro
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  4. Murat Perit Çakır
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  5. Elías Sanz-Casado
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Corresponding author

Correspondence to Murat Kocak.

Appendix

Appendix

See Table 5.

Table 5 Result of the cluster analysis of publications in the period (2000–2007 and 2008–2017)
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Kocak, M., García-Zorita, C., Marugán-Lázaro, S. et al. Mapping and clustering analysis on neuroscience literature in Turkey: a bibliometric analysis from 2000 to 2017. Scientometrics 121, 1339–1366 (2019). https://doi.org/10.1007/s11192-019-03259-w

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  • DOI: https://doi.org/10.1007/s11192-019-03259-w

Keywords

  • Bibliometrics
  • Neurosciences
  • Science mapping
  • Co-occurrence
  • Bibliographic coupling
  • Clustering
  • MeSH terms
  • Scientometrics