scholarly journals Developing human functioning and rehabilitation research part II: Interdisciplinary university centers and national and regional collaboration networks

2007 ◽  
Vol 39 (4) ◽  
pp. 334-342 ◽  
Author(s):  
G Stucki
2007 ◽  
Vol 39 (9) ◽  
pp. 665-671 ◽  
Author(s):  
G Stucki ◽  
JD Reinhardt ◽  
G Grimby ◽  
J Melvin

2015 ◽  
Author(s):  
Vincent Schubert R Malbas

Collaboration forms an integral aspect of global research endeavors, where co-authorship derived from bibliographic records provides the building block for mapping research collaboration networks. Bibliometric techniques and social network analysis tools were applied to measure the scope and depth of collaboration in biomedical research in Southeast Asia during the period 2005-2009. In particular, centrality scores and draw network maps were calculated for both country and institutional levels of aggregation. In the field of biomedical research, Thailand and Singapore are the most productive and collaborative countries in Southeast Asia during the period studied. Using network analysis, there was strong correlation of research productivity by a country or institution with the number of collaboration and its group influence, and weak correlation with maximal data flow within the research network. There were specific clusters of connected institutions in subnetworks for neoplasm, diabetes, and tuberculosis research. Given the observed frequency of regional collaboration in Southeast Asia, in comparison to foreign collaboration, it is argued that increasing the number of collaborations within Southeast Asia will help advance the region’s efforts on domestic and regional health issues.


2015 ◽  
Author(s):  
Vincent Schubert R Malbas

Collaboration forms an integral aspect of global research endeavors, where co-authorship derived from bibliographic records provides the building block for mapping research collaboration networks. Bibliometric techniques and social network analysis tools were applied to measure the scope and depth of collaboration in biomedical research in Southeast Asia during the period 2005-2009. In particular, centrality scores and draw network maps were calculated for both country and institutional levels of aggregation. In the field of biomedical research, Thailand and Singapore are the most productive and collaborative countries in Southeast Asia during the period studied. Using network analysis, there was strong correlation of research productivity by a country or institution with the number of collaboration and its group influence, and weak correlation with maximal data flow within the research network. There were specific clusters of connected institutions in subnetworks for neoplasm, diabetes, and tuberculosis research. Given the observed frequency of regional collaboration in Southeast Asia, in comparison to foreign collaboration, it is argued that increasing the number of collaborations within Southeast Asia will help advance the region’s efforts on domestic and regional health issues.


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