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

Date

2019-12-01

Author

Kocak, Murat
Garcia-Zorita, Carlos
Marugan-Lazaro, Sergio
Çakır, Murat Perit
Sanz-Casado, Elias

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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.

Subject Keywords

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

URI

https://hdl.handle.net/11511/30448

Journal

SCIENTOMETRICS

DOI

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

Collections

Graduate School of Informatics, Article

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Citation Formats

M. Kocak, C. Garcia-Zorita, S. Marugan-Lazaro, M. P. Çakır, and E. Sanz-Casado, “Mapping and clustering analysis on neuroscience literature in Turkey: a bibliometric analysis from 2000 to 2017,” SCIENTOMETRICS, pp. 1339–1366, 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30448.