Identification of research trends concerning application of stent implantation in the treatment of pancreatic diseases by quantitative and biclustering analysis: a bibliometric analysis

Zhu, Xuan; Niu, Xing; Li, Tao; Liu, Chang; Li-jie, Chen; Tan, Guang

doi:10.7717/peerj.7674

Cited by 10 publications

(8 citation statements)

References 47 publications

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“…The clustering results achieved after many attempts to obtain the best clustering strategy are presented in the form of a peak plot ( Figure 3 ), with 3 clusters marked as peaks 0 to 2, and a heatmap ( Figure 4 ), which is a schematic representation of high-dimensional data [ 15 ]. The height, volume, and color of each peak is proportional to the internal similarity within each cluster, the number of co-words in the cluster, and the standard deviation among the co-words in one cluster, respectively [ 16 , 17 ]. The independent distribution of peaks indicates that the clustering strategy has performed well [ 18 ].…”

Section: Resultsmentioning

confidence: 99%

Status Quo and Research Trends of Neurosurgical Departments in China: Bibliometric and Scientometric Analyses

Ni¹,

He²,

Cao³

et al. 2021

J Med Internet Res

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Background Modern neurosurgery is a relatively young discipline characterized by finesse and complexity. In recent years, neurosurgery in China has made continuous developments, with long-term progress and outstanding discoveries in many aspects of the field. Objective This scientometric investigation aimed to comprehensively provide insight into the development trends of neurosurgery in China, to demonstrate how the field has evolved. Methods PubMed database was searched to retrieve relevant papers published between 1988 and 2018 from neurosurgery institutions in China. The database of the National Natural Science Foundation of China was also retrieved for funding information. Information (eg, year of publication, journal, institute of origin) and keywords were collected from each paper after removing duplicates and filtering unintentional words. Co-word analysis was performed on the papers’ keywords, and a time distribution matrix of coexisting keywords in a given paper (ie, termed co-words) was established. Co-words were clustered according to their growth rate within years and visually presented with a mountain plot and a heatmap. Trends and potential subspecialties were identified, and each topic, represented either by a co-word from publications or funding from the National Natural Science Foundation of China during the period from 2011 to 2018, was collected and analyzed. Results Within 15,972 publications on neurosurgery from institutions in China, diagnostic image was found to coexist the most with other keywords. Cluster 0, represented by diagnostic image with retrospective study, contained emerging topics with great developmental potential and demonstrated high growth rates in recent years. This finding suggests that the topics represented in Cluster 0 may represent future areas of important neurosurgical research. We also found that the developmental trend of China’s neurosurgical research is highly correlated with National Natural Science Foundation of China funding acquisition. Conclusions Co-word analysis and visualization results provided insight into the emerging research topics that are of vital importance, which can be used as a reference by neurosurgeons and researchers for future investigations. In this study, our analysis strategy based on co-word biclustering was able to clearly demonstrate current academic subject development; therefore, co-word biclustering is a reliable bibliometric analysis strategy.

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Section: Resultsmentioning

confidence: 99%

Status Quo and Research Trends of Neurosurgical Departments in China: Bibliometric and Scientometric Analyses

Ni¹,

He²,

Cao³

et al. 2021

J Med Internet Res

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“…A number of randomized controlled trials have studied the treatment of pain after SCI [12][13][14][15]. Scientific research studies increasingly apply bibliometrics in quantitative analysis [16][17][18]. Bibliometric analysis revealed that research on the application of stem cells in SCI is a rapidly developing research field [19].…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Study of Pain after Spinal Cord Injury

Wang

2021

Neural Plasticity

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Background. The prevalence of comorbid pain after spinal cord injury (SCI) is relatively high in clinical observations and has continued to increase over time. Neuropathic pain (70.14%) is the most popular subject in academic journals after SCI. However, studies that used the bibliometric method to analyze comorbid pain after SCI are still lacking. This study is aimed at combining and integrating acquired information to analyze the global trends of research on the comorbidity of pain after SCI in the last three decades (1990–2019). Methods. Systematic works of literature published from 1990 to 2019 were obtained from the Web of Science Core Collection. CiteSpace software was used to analyze the relationship of publication year with the country, institution, journals, authors, references, and keywords. The regression analysis is used to evaluate the percentage of the category increase or decrease over time significantly. IBM SPSS Statistics was used in the statistical analysis. Results. A total of 730 publications were included in the analysis. A remarkable increase in the number of publications was observed in the study period ( P < 0.05 ). A total of 202 academic journals focused on the categories of clinical neurology, neurosciences, and rehabilitation, and the annual growth rate of articles in these three categories was statistically significant ( P < 0.05 ). The USA (356, 48.77%) and the University of Miami (64, 8.77%) were the country and institution with the highest number of publications, respectively. Spinal Cord, which was the main journal for research on pain after SCI, had the most publications (88, 12.05%). Burst keywords showed that the individual, inflammation, and central sensitization with pain after SCI are the research development trends and focus in this research field. Conclusions. Overall, this study provides the latest research direction for pain after SCI. This historical overview of research into pain after SCI will be a useful basis for further research into development trends, focus issues, cooperators, and cooperative institutions.

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“…Cluster analysis utilizes a weighting algorithm, log-likelihood algorithm, and mutual information algorithm with “title entries”, “index entries”, and “abstract entries” to extract common information to interpret research mainstreams and research characteristics. 18 Researchers rely on relevant analysis software for visual analysis (including Citespace, 19 VOSviewer, 20 Histcite, 21 etc.).…”

Section: Introductionmentioning

confidence: 99%

Scientific Knowledge Graph of Acupuncture for Migraine: A Bibliometric Analysis from 2000 to 2019

Zhao

Huang

Liu

et al. 2021

JPR

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Objective This study aims to explore the trend and knowledge mapping of acupuncture for migraine through bibliometrics. Methods It retrieved the literature on acupuncture for migraine in the Web of Science database from 2000 to 2019, and then resorted to CiteSpace to conduct bibliometric analysis to attain the knowledge mapping. Results The total number of publications each year has increased year by year, and the average annual growth rate from 2000 to 2009 was 15.57%, while from 2010 to 2019 was 6.35%, with a faster growth rate from 2000 to 2009. According to the cluster analysis of institutions, authors, cited references, and keywords, 10, 7, 12, and 10 categories were gained from 2000 to 2019. The most productive countries, institutions, and authors are the USA and China, Technical University of Munich and Beijing University of Chinese Medicine, Linde K and Liang FR from 2000 to 2019, whose frequency is 119/103, 28/24, and 28/24, respectively. However, the most important of them are Canada, Sichuan University, and Witt CM. Owing to their highest centrality, they are 0.86, 0.54, and 0.27 separately. Moreover, cited references that contributed to the most co-citations are Linde K (2005), yet, the most vital cited reference is Karst M (2001). Keywords such as migraine, acupuncture, headache, pain, and randomized controlled trial are the most frequently used. However, needle acupuncture is the crucial keyword. In the cluster analysis of institutions, authors, cited references, and keywords from 2000 to 2019, the largest cluster categories are #0 migraine prophylaxis, #1 randomized controlled trial, #0 episodic migraine, and #0 topiramate treatment. Then, randomized controlled trials of acupuncture prevention and treatment of migraine are the most important research content in this field. Conclusion Through the bibliometric analysis of the research on acupuncture for migraine in the Web of Science database in the past 20 years, the trends and the Knowledge Graph of the country, institution, author, cited reference, and the keyword are acquired, which have an important guiding significance for quickly and accurately positioning the key information in the field.

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Identification of research trends concerning application of stent implantation in the treatment of pancreatic diseases by quantitative and biclustering analysis: a bibliometric analysis

Cited by 10 publications

References 47 publications

Status Quo and Research Trends of Neurosurgical Departments in China: Bibliometric and Scientometric Analyses

Status Quo and Research Trends of Neurosurgical Departments in China: Bibliometric and Scientometric Analyses

Bibliometric Study of Pain after Spinal Cord Injury

Scientific Knowledge Graph of Acupuncture for Migraine: A Bibliometric Analysis from 2000 to 2019

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