Razieh Farshid; Faramarz Soheili; Hamed Gholami; Ehsan Geraei
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 ...
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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.
Faramarz Soheili; Farshid Danesh; Faezeh Mesrinejad; Alireza Isfandyari Moghadam
Volume 8, Issue 6 , January and February 2012, , Pages 766-773
Abstract
Introduction: The articles indexed in accredited citation databases essentially indicate how scientists share knowledge and promote sustainable development in each country. Therefore, according to citations to the papers of individuals, it could be possible to assess the rate of their acceptability ...
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Introduction: The articles indexed in accredited citation databases essentially indicate how scientists share knowledge and promote sustainable development in each country. Therefore, according to citations to the papers of individuals, it could be possible to assess the rate of their acceptability in the scientific community. The main objective of this study was to review Lotka's law of scientific productivity and Bradford's law of scatter in scientific productions among researchers at Isfahan University of Medical Sciences (IUMS) whose articles have been cited in Web of Science (WOS) database during 1992-2008. Methods: This was an applied study using scientometric indicators. Data was collected, sorted and analyzed in two phases and with two tools. In the first stage, data was extracted from the WOS in the form of plain text and stored on a personal computer. In the second stage, using ISI.exe, data was identified, analyzed and entered into spreadsheets in Microsoft Excel. In this research, Bradford's law of scatter, collaboration rates formula and Lotka's law of scientific production were used. Results: The results showed that the distribution of articles by authors at IUMS followed Lotka's law, i.e., a few writers released a large portion of the scientific products. In addition, the distribution frequency of journals published by IUMS followed Bradford's law, i.e., a small number of journals published the highest number of scientific papers. Moreover, the researchers at IUMS collaborated most with authors from the United States, Canada and England. Conclusion: The results of the present study indicated that the researchers of IUMS highly collaborate in writing their papers. Generally, collaboration rate in this university was equal to 0.967 which was relatively high.