Bibliometric analysis of global research on the rehabilitation of spinal cord injury in the past two decades
Authors Liu X, Liu N, Zhou M, Lu Y, Li F
Received 27 January 2018
Accepted for publication 8 May 2018
Published 17 December 2018 Volume 2019:15 Pages 1—14
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Professor Deyun Wang
Xiaoxie Liu, Nan Liu, Mouwang Zhou, Yao Lu, Fang Li
Department of Rehabilitation Medicine, Peking University Third Hospital, Beijing, China
Purpose: We aimed to build a model to qualitatively and quantitatively evaluate publications of research of spinal cord injury rehabilitation from 1997 to 2016.
Methods: Data were obtained from the Web of Science Core Collection on October 6, 2017. We conducted a qualitative and quantitative analysis of publication outputs, journals, authors, institutions, countries, cited references, keywords, and terms by bibliometric methods and bibliometric software packages.
Results: We identified 5,607 publications on rehabilitation of spinal cord injury from 1997 to 2016, and found that the annual publication rate increased with time. The Archives of Physical Medicine and Rehabilitation published the largest number of literature, the most active country was USA, the most active institution was University of Washington, and Post MWM was the leading author. Keyword analysis indicated that life satisfaction, muscle strength, wheelchair training, walking, gait, and others were the hot spots of these research studies, whereas classification, exoskeleton, plasticity, and old adult were research frontiers.
Conclusion: This bibliometric study revealed that research on rehabilitation of spinal cord injury is a well-developed and promising research field. Global scientific research cooperation is close. However, higher quality research is needed. Our findings provide valuable information for researchers to identify better perspectives and develop the future research direction.
Keywords: scientific collaboration network, co-citation network, keywords co-occurrence network, journal analysis, cited reference analysis
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