scholarly journals Bibliometric analysis of the top 100 most cited articles on the basilar artery

2020 ◽  
Vol 11 ◽  
pp. 307
Author(s):  
Turki Elarjani ◽  
Othman T. Almutairi ◽  
Modhi A. Alhussinan ◽  
Mohammed Bafaquh ◽  
Abdulrahman Y. Alturki

Background: The basilar artery (BA) is one of the most critical vessels that supply blood to the brain stem, cerebellum, and parts of the cerebral hemispheres. Many studies on the BA from neurobiological, clinical, and experimental perspectives exist. This bibliometric study was aimed at identifying the most-cited articles related to the BA in different disciplines. Methods: A title-specific search was carried out using the Scopus database, and the top 100 most-cited articles were collected and analyzed. Article- and cytometric-based parameters were established for the literature review. Results: The top 100 articles have an accumulative citation count of 13,595, with an average of 135.95 citations per paper. The publication dates range from 1946 to 2015, with the most productive years being those in the 1990s. Experimental studies are the most frequent category, followed by endovascular ones. The top-cited article has received a total of 435 citations, with 18.12 citations per year. The United States of America has contributed the most to the top 100 cited articles. The lead research institution was the University of Bern, and the most contributing journal was the Journal of Neurosurgery. Conclusion: A bibliometric analysis of BA researches revealed landmark papers and trends over the years, such as on the introduction of endovascular management in basilar aneurysm and occlusion. The highly cited articles in multi-disciplinary areas related to the BA may help develop future novel ideas for research in the laboratory and translational fields.

2021 ◽  
Vol 12 ◽  
pp. 62
Author(s):  
Turki Elarjani ◽  
Othman T. Almutairi ◽  
Modhi Alhussinan ◽  
Gmaan Alzhrani ◽  
Fahad E. Alotaibi ◽  
...  

Background: Citation analysis reflects the scientific recognition and influential performance of a published article within its field. We aim to identify the top 100 most-cited articles on astrocytoma using this bibliometric analysis method. Methods: In May 2020, we performed a thorough search in the Scopus database using the word “Astrocytoma.” The top 100 most-cited articles were arranged based on citation count in descending order. The resultant articles were then analyzed with an assessment of pertinent factors. Results: The most-cited articles on astrocytoma had been cited 23,720 times. The top-cited article received a total of 682 citations, with an average of 34.1 citations annually. The list comprised eight clinical trials, in which the highest cited article received 625 citations. Articles were published from 1975 to 2015 with the 1995–2005 era as the most prolific period. Neuropathology studies were the most studied category, followed by clinical studies. The United States of America was the most significant contributor, with 49 published articles. The University of California San Francisco was the most contributing institution by producing 11 articles. Articles were published in 32 different journals led by the Cancer Research Journal, with a total of 12 publications. Approximately 160 authors contributed to the list in which Scheithauer, B.W. contributed the most with a total of eight articles. Conclusion: This report clustered the most impactful articles on astrocytoma. It serves as an adequate tool to identify publication trends and helps in achieving evidence-based clinical practice.


2018 ◽  
Vol 10 (9) ◽  
pp. 3135 ◽  
Author(s):  
Yulei Xie ◽  
Ling Ji ◽  
Beibei Zhang ◽  
Gordon Huang

This study attempts to characterize the literature related to input–output analysis between 1990–2017 through bibliometric analysis technology based on the Science Citation Index and Social Sciences Citation Index databases. By means of bibliometric tools, this paper provides deep insights on the patterns of these articles, the most influential works and authors, and the emerging research topics. The results imply that China and the United States (USA) are the leading countries in terms of publication output. The Chinese Academy of Sciences is the most productive research institution, followed by Beijing Normal University and the University of Sydney. The Journal of Cleaner Production, Ecological Economics, and Energy Policy are the top mainstream journals in the input–output analysis-related field. Based on network analysis, this paper also discovers the hidden collaboration patterns and interrelations of countries, institutions, and authors. The bibliographic coupling and keywords concurrence networks are adopted to illustrate the input–output analysis evolution over time, and identify the current key research hotspots. The obtained results will help scientific researchers better understand the research status and frontier trends in this field, permit researchers to know the current research interests in the input–output analysis field, and provide useful information for further investigation and publication strategies.


2019 ◽  
Vol 13 (5-6) ◽  
pp. 966-973 ◽  
Author(s):  
Xinxin Hao ◽  
Yunling Liu ◽  
Xiaoxue Li ◽  
Jingchen Zheng

ABSTRACTObjective:To analyze the development of disaster medicine and to identify the main obstacles to improving disaster medicine research and application.Methods:A topic search strategy was used to search the Web of Science Core Collection database. The 100 articles with the highest local citation scores were selected for bibliometric analysis; summarizing informetric indicators; and preparing a historiography, themes network, and key word co-occurrence map.Results:The 100 articles with the highest local citation scores were published from 1983 to 2013 in 9 countries, mainly in the United States. The most productive authors were Koenig and Rubinson. The lead research institution was Columbia University. The most commonly cited journal was the Annals of Emergency Medicine. The development of disaster medicine could be separated into 3 consecutive periods. All results indicate that the development of disaster medicine faces some obstacles that need to be addressed.Conclusions:Research works have provided a solid foundation for disaster medicine, but its development has been in a slow growth period for a long time. Obstacles to the development of disaster medicine include the lack of scientist communities, transdisciplinary research, innovative research perspectives, and continuous research. Future research should overcome these obstacles so as to make further advances in this field.


Author(s):  
Rika M. Wright ◽  
K. T. Ramesh

Traumatic brain injury (TBI) is a debilitating injury that affects more than 1.4 million people in the United States each year. Of the incidences of TBI, diffuse axonal injury (DAI) accounts for the second largest percentage of deaths. DAI is caused by inertial loads to the head, and it is characterized by damage to neurons. Despite the extensive research on DAI, the injury mechanisms associated with the pathology are still poorly understood. The crucial link between the inertial forces to the head at the macroscale and the resulting damage at the cellular level has yet to be explained. An integral step to understanding this coupling between mechanical forces and the functional damage of neurons is the development of an analytical model that accurately represents the mechanics of brain deformation under inertial loads. It has been noted in clinical and experimental studies that the most common injury location of DAI is within the deep white matter of the brain. Structures such as the splenium of the corpus callosum are cited as being highly susceptible to damage [1]. Although numerous brain tissue models have been proposed, few models account for the anisotropic nature of white matter in the brain. As a first step in developing an anisotropic model for white matter, the effect of the invariant terms in a strain energy function for white matter is analyzed.


Author(s):  
Hong Chuan Loh ◽  
Fan Kee Hoo ◽  
Jia Ni Kwan ◽  
Yi Fang Lim ◽  
Irene Looi

This study is the first bibliometric analysis of vegan-related research. This article aims to identify and organize fundamental and influential works across several decades in order to gain insight into global trends in vegan-related research. We searched the Scopus database and included all relevant articles published from 1960 (inception) to 2020. We limited our search to English language articles containing the terms “vegan,” “vegans,” or “veganism” in the title or abstract. We included all types of articles that were published in journals. We conducted a bibliometric analysis with the open-source R programming software-based Bibliometrix package. There were a total of 1440 relevant articles published in 664 journals over a span of 60 years. The first article was published in 1962. The average publication rate was 9.68 articles per year. The top journal was Nutrients with total publication of 85 (5.9%) articles and 924 total citations. The United States was the leading country with 471 articles and the University of Oxford was the most prolific institution with 59 articles. There was a total of 4586 authors with an average of 28 citations per article. McCarty from the United States was the leading author. The keyword “vegan” was the most used term with 411 occurrences, widely published in Nutrients by the United States authors. We conclude that the United States is the leading country in the field of vegan-related research and, if the trajectory we noted continues, the global trend in vegan-related research is likely to continue surging.


2020 ◽  
pp. 219256822095207
Author(s):  
Mengchen Yin ◽  
Chongqing Xu ◽  
Wen Mo

Study Design: Bibliometric analysis. Objective: With the increasing literature of spine surgery, some pioneering research studies have had a significant impact on the field of lumbar spinal stenosis (LSS). The objective of the authors was to identify and analyze the most frequently cited 100 articles in this field. Methods: Web of Science was searched to identify 100 top-cited articles related to LSS from 2000 to 2019. Articles on the final list were filtered based on their titles and abstracts. The following information were recorded and analyzed with bibliometric method: article title, first author, year of publication, journal of publication, total number of citations, country, institution, and study topic. Results: The citation count for final articles on the list ranged from 71 to 2162, with a mean number of 207.7. The journal Spine contributed the maximum number of articles (37), followed by European Spine Journal (9) and Pain Physician (8). There were collectively 80 first authors contributing to articles on the final list. Twelve authors were represented multiple times in the top 100 articles. The most prolific years were 2008 and 2009, each had 11 articles published. With regard to country and region of origin, most articles were from the United States (58). The most cited article was published in Spine in 2000 by Fairbank and Pynsent, who discussed the role of the Oswestry Disability Index as an evaluation standard in spinal disorders, including LSS. Conclusion: The current study analyzed the 100 most cited articles on LSS. It no doubt developed a useful resource with detailed information for many, particularly orthopedic and neurosurgery physicians who want to assimilate research focus and advance of LSS within a relatively short period. Researchers may benefit from emphasis on citation count while citing and evaluating articles and realize the deficiencies when high-level articles appear.


10.2196/18212 ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. e18212
Author(s):  
Cheng Peng ◽  
Miao He ◽  
Sarah L Cutrona ◽  
Catarina I Kiefe ◽  
Feifan Liu ◽  
...  

Background Due to the widespread and unprecedented popularity of mobile phones, the use of digital medicine and mobile health apps has seen significant growth. Mobile health apps have tremendous potential for monitoring and treating diseases, improving patient care, and promoting health. Objective This paper aims to explore research trends, coauthorship networks, and the research hot spots of mobile health app research. Methods Publications related to mobile health apps were retrieved and extracted from the Web of Science database with no language restrictions. Bibliographic Item Co-Occurrence Matrix Builder was employed to extract bibliographic information (publication year and journal source) and perform a descriptive analysis. We then used the VOSviewer (Leiden University) tool to construct and visualize the co-occurrence networks of researchers, research institutions, countries/regions, citations, and keywords. Results We retrieved 2802 research papers on mobile health apps published from 2000 to 2019. The number of annual publications increased over the past 19 years. JMIR mHealth and uHealth (323/2802, 11.53%), Journal of Medical Internet Research (106/2802, 3.78%), and JMIR Research Protocols (82/2802, 2.93%) were the most common journals for these publications. The United States (1186/2802, 42.33%), England (235/2802, 8.39%), Australia (215/2802, 7.67%), and Canada (112/2802, 4.00%) were the most productive countries of origin. The University of California San Francisco, the University of Washington, and the University of Toronto were the most productive institutions. As for the authors’ contributions, Schnall R, Kuhn E, Lopez-Coronado M, and Kim J were the most active researchers. The co-occurrence cluster analysis of the top 100 keywords forms 5 clusters: (1) the technology and system development of mobile health apps; (2) mobile health apps for mental health; (3) mobile health apps in telemedicine, chronic disease, and medication adherence management; (4) mobile health apps in health behavior and health promotion; and (5) mobile health apps in disease prevention via the internet. Conclusions We summarize the recent advances in mobile health app research and shed light on their research frontier, trends, and hot topics through bibliometric analysis and network visualization. These findings may provide valuable guidance on future research directions and perspectives in this rapidly developing field.


2021 ◽  
Author(s):  
Xinning Mi ◽  
Xiaoxiao Wang ◽  
Ning Yang ◽  
Yongzheng Han ◽  
Yue Li ◽  
...  

Abstract Background: In line with aging populations and increased application of anesthesia and surgery, perioperative neurocognitive disorder (PND) has received growing attention worldwide. Considerable research into PND is being conducted; however, the quantity and quality of such research have not been reported. Through a retrospective bibliometric analysis, this study aimed to identify and characterize the top 100 cited publications on PND. Methods: We searched the Web of Science database to find the top 100 cited articles focusing on PND. We collected bibliographic information, including year of publication, country of origin, article type, published journal, citation count, and authorship. To determine changes with time, we compared older and newer articles. Results: The top 100 cited articles were published between 1955 and 2016; the number of citations ranged from 111 to 1248. The United States had the most published papers; clinical trials were the most common article type. The specialty journals of Anesthesiology and Anesthesia & Analgesia were the two most cited journals. Newer papers had a comparable number of citations to older articles, but the former had higher citation rates, greater funding disclosures, more focus on basic research, and more open access publications. Conclusions: This study provides a comprehensive overview of the most cited articles and highlights the increasing attention on PND. High-quality clinical trials with a greater journal impact factor received more citations. However, there has been growth in the number of basic science studies as an area of research with respect to the pathogenesis of PND.


2021 ◽  
Vol 12 ◽  
Author(s):  
Shijie Zhang ◽  
Hong Fan ◽  
Yonggang Zhang

Background: Citation analysis is a type of quantitative and bibliometric analytic method designed to rank papers based on their citation counts. Over the last few decades, the research on dyslexia has made some progress which helps us to assess this disease, but a citation analysis on dyslexia that reflects these advances is lacking.Methods: A retrospective bibliometric analysis was performed using the Web of Science Core Collection database. The 100 top-cited studies on dyslexia were retrieved after reviewing abstracts or full-texts to May 20th, 2021. Data from the 100 top-cited studies were subsequently extracted and analyzed.Results: The 100 top-cited studies on dyslexia were cited between 245 to 1,456 times, with a median citation count of 345. These studies were published in 50 different journals, with the “Proceedings of the National Academy of Sciences of the United States of America” having published the most (n = 10). The studies were published between 1973 and 2012 and the most prolific year in terms of number of publications was 2000. Eleven countries contributed to the 100 top-cited studies, and nearly 75% articles were either from the USA (n = 53) or United Kingdom (n = 21). Eighteen researchers published at least two different studies of the 100 top-cited list as the first author. Furthermore, 71 studies were published as an original research article, 28 studies were review articles, and one study was published as an editorial material. Finally, “Psychology” was the most frequent study category.Conclusions: This analysis provides a better understanding on dyslexia and may help doctors, researchers, and stakeholders to achieve a more comprehensive understanding of classic studies, new discoveries, and trends regarding this research field, thus promoting ideas for future investigation.


Author(s):  
Anas Imran Arshad ◽  
Paras Ahmad ◽  
Mohmed Isaqali Karobari ◽  
Jawaad Ahmed Asif ◽  
Mohammad Khursheed Alam ◽  
...  

Citation frequencies represent the most significant contributions in any respective field. This bibliometric analysis aimed to identify and analyze the 100 most-cited publications in the field of antibiotics and to highlight the trends of research in this field. “All databases” of Clarivate Analytics' Web of Science was used to identify and analyze the 100 publications. The articles were then cross-matched with Scopus and Google Scholar. The frequency of citation ranged from 940 to 11051 for the Web of Science, 1053 to 10740 for Scopus, and 1162 to 20041 for Google Scholar. Five hundred thirteen authors made contributions to the ranked list, and Robert E.W. Hancock contributed in six articles, which made it to the ranked list. Sixty-six scientific contributions originated from the United States of America. In contrast, five publications were linked to the University of Manitoba, Canada, that was identified as the educational organization, which made the most contributions (n=5). According to the methodological design, 26 of the most cited works were review-type closely followed by 23 expert opinions/perspectives. Eight articles were published in Nature journal, making it the journal with the most scientific contribution in this field. Correlation analysis between the publication age and citation frequency was found statistically significant (P = .012).


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