Dataset Information

Sino-Canadian collaborations in stem cell research: a scientometric analysis.

ABSTRACT:

Background

International collaboration (IC) is essential for the advance of stem cell research, a field characterized by marked asymmetries in knowledge and capacity between nations. China is emerging as a global leader in the stem cell field. However, knowledge on the extent and characteristics of IC in stem cell science, particularly China's collaboration with developed economies, is lacking.

Methods and findings

We provide a scientometric analysis of the China-Canada collaboration in stem cell research, placing this in the context of other leading producers in the field. We analyze stem cell research published from 2006 to 2010 from the Scopus database, using co-authored papers as a proxy for collaboration. We examine IC levels, collaboration preferences, scientific impact, the collaborating institutions in China and Canada, areas of mutual interest, and funding sources. Our analysis shows rapid global expansion of the field with 48% increase in papers from 2006 to 2010. China now ranks second globally after the United States. China has the lowest IC rate of countries examined, while Canada has one of the highest. China-Canada collaboration is rising steadily, more than doubling during 2006-2010. China-Canada collaboration enhances impact compared to papers authored solely by China-based researchers This difference remained significant even when comparing only papers published in English.

Conclusions

While China is increasingly courted in IC by developed countries as a partner in stem cell research, it is clear that it has reached its status in the field largely through domestic publications. Nevertheless, IC enhances the impact of stem cell research in China, and in the field in general. This study establishes an objective baseline for comparison with future studies, setting the stage for in-depth exploration of the dynamics and genesis of IC in stem cell research.

SUBMITTER: Ali-Khan SE

PROVIDER: S-EPMC3585304 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Sino-Canadian collaborations in stem cell research: a scientometric analysis.

Ali-Khan Sarah E SE Ray Monali M McMahon Dominique S DS Thorsteinsdóttir Halla H

PloS one 20130228 2

<h4>Background</h4>International collaboration (IC) is essential for the advance of stem cell research, a field characterized by marked asymmetries in knowledge and capacity between nations. China is emerging as a global leader in the stem cell field. However, knowledge on the extent and characteristics of IC in stem cell science, particularly China's collaboration with developed economies, is lacking.<h4>Methods and findings</h4>We provide a scientometric analysis of the China-Canada collaborat ...[more]

PMID: 23468927

Similar Datasets

Project description:BackgroundThousands of research articles on neuroblastoma have been published over the past few decades; however, the heterogeneity and variable quality of scholarly data may challenge scientists or clinicians to survey all of the available information. Hence, holistic measurement and analyzation of neuroblastoma-related literature with the help of sophisticated mathematical tools could provide deep insights into global research performance and the collaborative architectonical structure within the neuroblastoma scientific community. In this scientometric study, we aim to determine the extent of the scientific output related to neuroblastoma research between 1980 and 2018.MethodsWe applied novel scientometric tools, including Bibliometrix R package, biblioshiny, VOSviewer, and CiteSpace IV for comprehensive science mapping analysis of extensive bibliographic metadata, which was retrieved from the Web of ScienceTM Core Collection database.ResultsWe demonstrate the enormous proliferation of neuroblastoma research during last the 38?years, including 12,435 documents published in 1828 academic journals by 36,908 authors from 86 different countries. These documents received a total of 316,017 citations with an average citation per document of 28.35?±?7.7. We determine the proportion of highly cited and never cited papers, "occasional" and prolific authors and journals. Further, we show 12 (13.9%) of 86 countries were responsible for 80.4% of neuroblastoma-related research output.ConclusionsThese findings are crucial for researchers, clinicians, journal editors, and others working in neuroblastoma research to understand the strengths and potential gaps in the current literature and to plan future investments in data collection and science policy. This first scientometric study of global neuroblastoma research performance provides valuable insight into the scientific landscape, co-authorship network architecture, international collaboration, and interaction within the neuroblastoma community.

Project description:BackgroundResearch on pharmacoeconomics (PE) promotes the rational allocation of medical resources, which has received attention in the last decade. We conducted a scientometric analysis of PE to determine the current status and frontiers, and promote cooperation and development.MethodsThe Web of Science Core Collection-Science Citation Index Expanded was adopted to retrieve publications associated with PE from 2012-2021. After screening publications, CiteSpace 3.8.R3 was used to conduct a scientometric analysis. We analyzed terms, including publications and citations, countries/regions, institutions, journals, authors, keywords, and references.ResultsIn total, 4,715 documents published from 2012-2021 were included in this study, of which 3,829 were articles and 886 were reviews. The documents were cited 54,596 times, at an average of 11.58 times per document. 121 countries/regions and 410 institutions were involved. The top 3 countries/regions by the number of publications were the United States of America (n=1,790), England (n=601), and China (n=403), while the institution with the most publications was Pfizer. Pharmacoeconomics was the main journal of PE, with 310 publications in all, and the top 3 cited journals were New England Journal of Medicine (citation times =1,620), Value in Health (citation times =1,306), and Lancet (citation times =1,255). Bin Wu was the most productive author (n=16), while World Health Organization was the most influential author (citation times =387). 524 keywords altogether were found, and the top 3 keywords by frequency were therapy (frequency =318), impact (frequency =305), and cost-effectiveness (frequency =296). The keyword "modifying antirheumatic drug" associated with rheumatoid arthritis (RA) has continued bursting from 2016-2021. Guide to the methods of technology appraisal 2013 by the National Institute for Health and Care Excellence, was the most frequently cited publication on PE (citation times =65). Cluster 0 labeled as "cost-effectiveness analysis" (CEA) was the largest and latest cluster, and its citing articles focused on the CEA of first-line treatment for non-small cell lung cancer (NSCLC).ConclusionsThe economic analysis of disease-modifying antirheumatic drugs related to RA was a popular topic in the last 6 years, and CEA of NSCLC first-line treatment was at the frontier of PE.

Dataset Information

Sino-Canadian collaborations in stem cell research: a scientometric analysis.

Background

Methods and findings

Conclusions

Publications

Sino-Canadian collaborations in stem cell research: a scientometric analysis.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets