Analysis of Stomach Cancer Fields through Hierarchical Clustering Method

Document Type : Original Article

Authors
Razieh Farshid 1
Faramarz Soheili 2
Hamed Gholami 3
Ehsan Geraei 4
1 MSc, Knowledge and Information Science, Department of Knowledge and Information Science, School of Management, University of Tehran, Tehran, Iran
2 Associate Professor., Knowledge and Information Science, Payame Noor University, Tehran, Iran
3 MSc, Molecular Cell, School of Basic Sciences, Tonekabon Branch, Islamic Azad University, Tonekabon, Iran
4 Assistant Professor, Knowledge and Information Science, Department of Educational Sciences, School of Literature and Human Sciences, Lorestan University, Lorestan, Iran
10.22122/him.v17i3.4117
Abstract
Introduction: Scientometric study is one of the efficient methods of academic evaluation in authentic databases. Hierarchical clustering is also a useful instrument in providing an overview of a studies in a field and understanding of its knowledge structure. Therefore, this study tries to explore the intellectual structure of the studies carried out in the field of gastric cancer.Methods: This study was carried out using co-word analysis and hierarchical clustering of scientometric methods with an analytical approach. The study population included keywords of articles indexed in Web of Science database in the field of stomach cancer from 1979 to 2019. The population included 58,709 records indexed on the Web of Science database from 1979 to 2019 and included 207,625 keyword extracted. Data were analyzed through strategic and dendrogram chart.Results: Findings related to hierarchical clustering by Ward method led to the formation of four clusters in this domain: Cell signaling in cancer, Oncogenes and cancer, Roll of cell cycle and check points in cancer, Reasons and diagnosis. The clusters 2 and 1 (Oncogenes and cancer and Cell signaling in cancer) had the highest and lowest concentration among the clusters, respectively. Besides, clusters 1 and 2 (Cell signaling in cancer and Oncogenes and cancer) had respectively the highest and lowest density among the clusters.Conclusion: Hierarchical clustering has the potential of providing a clear image of the academic structure of studies in the gastric cancer domain. The results of the analysis of articles in the field of gastric cancer that led to the identification of underdeveloped areas can be an academic basis for future researchers.

Keywords

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Health Information Management
Volume 17, Issue 3 - Serial Number 3
Summer 2020
Pages 133-139