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Information Mining and Visualization of Highly Cited Papers on Type-2 Diabetes Mellitus from ESI


Affiliations
1 Tianjin University Library, Tianjin University, Tianjin - 300072, China
2 Tianjin Medical College, Tianjin - 300222, China
 

A bibliometric analysis based on 1845 highly cited papers extracted from the Essential Science Indicators database was carried out to provide insights into publication performances and research characteristics of type-2 diabetes mellitus. Indicators were applied to evaluate the influence of the most productive journals, countries/territories, organizations and authors. Social network analysis was performed to evaluate and visualize the interaction among productive countries/territories, organizations, authors and keywords using VOS viewer software. Results obtained from this study can provide valuable information for researchers to better identify present and future hotspots in type-2 diabetes-related fields.

Keywords

Bibliometric Methods, Type-2 Diabetes Mellitus, Highly Cited Papers, Social Network Analysis.
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  • Information Mining and Visualization of Highly Cited Papers on Type-2 Diabetes Mellitus from ESI

Abstract Views: 242  |  PDF Views: 75

Authors

Tong Zhai
Tianjin University Library, Tianjin University, Tianjin - 300072, China
Lizhi Di
Tianjin Medical College, Tianjin - 300222, China

Abstract


A bibliometric analysis based on 1845 highly cited papers extracted from the Essential Science Indicators database was carried out to provide insights into publication performances and research characteristics of type-2 diabetes mellitus. Indicators were applied to evaluate the influence of the most productive journals, countries/territories, organizations and authors. Social network analysis was performed to evaluate and visualize the interaction among productive countries/territories, organizations, authors and keywords using VOS viewer software. Results obtained from this study can provide valuable information for researchers to better identify present and future hotspots in type-2 diabetes-related fields.

Keywords


Bibliometric Methods, Type-2 Diabetes Mellitus, Highly Cited Papers, Social Network Analysis.

References





DOI: https://doi.org/10.18520/cs%2Fv116%2Fi12%2F1965-1974