Bibliometric Characteristics Research Articles

Understanding the trajectory of research efforts in atypical teratoid rhabdoid tumors: a bibliometric analysis of the 50 most impactful studies to date.

Atypical teratoid/rhabdoid tumor (ATRT) is a highly malignant embryonal tumor of the central nervous system (CNS) that occurs predominantly in children. More is being discovered about this disease to improve understanding and outcomes. The aim of this analysis was to evaluate citation and other bibliometric characteristics of the 50 most cited articles in the contemporary literature in order to better model the trajectory of our current efforts. Elsevier's Scopus database was searched for the 50 most cited articles about ATRT. To look for trends, earliest 25 articles were separated from the latest 25 articles and then were compared. Various bibliometric parameters were summarized and compared using Pearson's chi-square and Mann-Whitney U tests. The 50 most cited articles were published between 1990 and 2016, from 5 unique countries in 29 unique journals, with genetic and retrospective observational cohort studies the most common design (n = 11 each). Overall median values were as follows: citation count, 145.4 citations (range, 67-626); citation rate per year, 11.7 (range, 3.5-51.4); number of authors 12 (range, 1-95); with 32 (64%) originating from the USA. Compared with older articles, newer articles had statistically lower citation counts (101.8 vs 189.0; P < 0.01), higher number of authors (17.3 vs 6.6; P < 0.01), and were less likely published from the USA (40% vs 88%; P < 0.01) CONCLUSIONS: The 50 most cited articles about ATRT were characterized in this analysis. There was a distinct focus in these studies on the genetic composition and consequences of these tumors. Trends over time suggest greater impact will be had in highly collaborative efforts worldwide. Moving forward, it will be of great interest to see how the findings of these basic science finding will translate into future clinical studies.

The top 100 most-cited articles citing human brain banking from 1970 to 2020: a bibliometric analysis.

Many articles involving human brain banks have been published. Bibliometric analysis can determine the history of the development of research and future research trends in a specific field. Three independent researchers retrieved and reviewed articles from the Web of Science database using the following strategy: "TS = (((brain OR cerebral) AND (bank* OR biobank*)) OR brainbank*)." The top 100 most-cited articles were identified and listed in descending order by total citations. Web of Science was used to identify ten recent articles describing bank construction. GeenMedical ( https://www.geenmedical.com/ ) was used to identify ten recent articles from journals with an impact factor (IF) > 20. The top 100 most-cited articles citing human brain banks were published between 1991 and 2017. Fifty-two percent of the articles focused on a specific type of neurodegenerative disease, and 16% discussed the construction and development of human brain banks. Articles using brain tissue had more total and annual citations than those on bank construction. Ten articles with high IFs were published from 2017 to 2019, and they were primarily studies using novel research techniques such RNA sequencing and genome-wide association studies. Most studies were published in journals specializing in neurology or neuroscience such as Movement Disorders (10%), and had been conducted in the United States (52%) by neurologists (62%). The top 100 most-cited articles and recent publications citing human brain banks and their bibliometric characteristics were identified and analyzed, which may serve as a useful reference and pave the way for further research.

Bibliometric analysis of Russian publications’ quality in physical area, included to the Web of Science Core Collection Data Base

The article analyzes the changes in the bibliometric characteristics of the array of Russian publications reflected in the Web of Science Core Collection (WoS CC database) in the field of physics in 2018, compared to the same characteristics in 2010. The main parameter to assess the quality (research level) of arrays with bibliometric point of view was “Comprehensive index of quality” (CIQ) for the array of publications, calculated on the basis of one of the parameters in “Method for calculating the qualitative indicator of the state task “the Comprehensive performance score publication”...”, used by the Ministry of science and higher education of the Russian Federation. It was found that with an almost twofold increase in the volume of the array, there was a slight decrease in its quality in terms of CIQ in 2018 in comparison with 2010. The author also compared the characteristics of the array of Russian publications in 2018 with similar ones of the arrays on physical publications in Germany, India and Great Britain, located close to Russia in the ranking by the number of publications included in the WoS array (in this ranking, Russia was on the fourth place in 2018). In the ranking based on the CIQ indicator, the arrays of these countries are significantly ahead of the Russian one, and our country is only on the sixth place. The main reasons for this lag in the Russian publications array are identified. They are: a lower percentage of Russian publications in high-quartile journals and a greater number of publications from conference proceedings. The conclusion is made about the applicability of bibliometric analysis to identify trends in publishing activities in the scientific field.

A Comparative Study of Bibliometric Characteristics of the DESIDOC Journal of Library and Information Technology and Annals of Library and Information Studies

A Comparative Study of Bibliometric Characteristics of the DESIDOC Journal of Library and Information Technology and Annals of Library and Information Studies

A bibliometric overview of Transportation Research Part B: Methodological in the past forty years (1979–2019)

In 1979, Transportation Research Part B: Methodological (TR-Part B) split from its mother journal Transportation Research, which was founded by Dr. Frank A. Haight in 1967, to set off on a journey as an independent journal with a theme on methodological development of transportation science. Since then, TR-Part B has been a leading international journal in the field of transportation research. Motivated by the 40th anniversary of TR-Part B (1979–2019), this paper utilized a bibliometric analysis technique to present a lifetime overview of the development characteristics and contribution details of TR-Part B in the past 40 years. The data used in this analysis were derived from the Core Collection Database of Web of Science, producing a total of 2,697 papers that were regular articles and reviews published in TR-Part B during the study period from 1979 to 2019. A systematic bibliometric analysis was conducted using VOSviewer software around two main aspects. First, analysis was conducted on publication and citation structures, the leading authors, organizations, and regions/countries with the most number of academic publications in TR-Part B, as well as those individuals and sources citing TR-Part B the most. Second, a visualization of the bibliometric characteristics of TR-Part B was presented in a knowledge mapping network analysis of co-authorship and bibliographic coupling. This paper reviews the contributions made to the lifetime development of TR-Part B during the past four decades and reveals insightful bibliometric findings.

Bibliometric Analysis of Pediatric Liver Transplantation Research in PubMed from 2014 to 2018.

BackgroundPediatric liver transplantation is used to treat children with end-stage liver disease. This study explored the research hotspots and bibliometric characteristics of pediatric liver transplantation through a variety of bibliometric analysis software. We conducted hotspot analysis to help determine important directions for future scientific research.Material/MethodsThe study samples were articles related to pediatric liver transplantation published in PubMed in the past 5 years. The high-frequency keywords are extracted by BICOMB software, and then a binary matrix and a common word matrix were constructed. Gcluto software was used to perform double-clustering and visual analysis on high-frequency words, and then we obtained hot area classification. Strategic coordinates are constructed using Excel. Citespace and VOSviewer software are used for further analysis and bibliometric data visualization.ResultsA total of 36 high-frequency words were found in the 4118 studies. A peak map was drawn through double-cluster analysis. Biclustering analysis was used to calculate the concentricity and density of each hotspot. We obtained the top 10 countries/regions engaged in pediatric liver transplantation research. VOSviewer was used to visualize the co-author map.ConclusionsWe found 5 clusters and 7 aspects for pediatric liver transplantation. Additionally, calculation results showed that post-transplant lymphoproliferative disorder in pediatric patients and outcomes of multivisceral transplantation seem very promising. This conclusion is of great value for future exploratory research.

Bibliometric analysis of global scientific research on Coronavirus (COVID-19)

Background: Since the outbreak of the novel coronavirus disease from Wuhan, China, in early December 2019, many scientists focused on this infection to find a way to deal with it. Due to the dramatic scientific growth in this field, we conducted a scientometric study to gain a better understanding of the scientific literature on COVID-19. Methods: We extracted all COVID-19 documents indexed in the Scopus from December 1, 2019, to April 1, 2020, without any language limitation and determined their bibliometric characteristics, including document type, open accessibility status, citation counting, H-index, top cited documents, the most productive countries, institutions and journals, international collaboration, the most frequent terms and keywords, journal bibliographic coupling and cocitations. Results: A total of 923 documents on COVID-19 were retrieved, of which 418 were original articles. All documents had received 2551 citations with an average citation of 2.76 per document and an h-index of 23. China ranked first with 348 documents, followed by the United States (n = 160). The Lancet and BMJ Clinical Research Ed published the most documents (each with 74 documents) and 2 institutions (University of Hong Kong and Huazhong University of Science and Technology) ranked first in this regard. In addition, the present study analyzed the top 25 highly-cited documents (those that had received 70% of all citations). Conclusion: This study highlighted the focused subjects on various aspects of COVID-19 literature such as pathogenesis, epidemiology, transmission, diagnosis, treatment, prevention, and its complications.

Citation analysis of the highest-cited articles on developmental dysplasia of the hip.

The purpose of this study is to determine the highest-cited articles on developmental dysplasia of the hip (DDH) and analyze their bibliometric characteristics. We searched the Web of Science (WoS) for articles with the highest number of citations on DDH and recorded their number of citations in WoS, Scopus, and Google Scholar (GS). We ranked and selected the top 100 cited articles. The average number of citations in WoS was 148 (range 66-638). The most-cited article in all databases was Crowe's total hip replacement cohort on DDH. The Journal of Bone and Joint Surgery American Volume (n = 35) had the most articles in the list, and the United States (n = 46) contributed with the most articles. The University of Bern had the most publications (n = 8). Most studies were therapeutic (n = 45) or diagnostic (n = 29). Hip preservation and arthroplasty investigations have had an increment in citations in recent decades. We provide an historical perspective on research conducted on DDH. A majority of the articles were observational and therapeutic. All databases had good correlation in the number of citations.

A Bibliometric Analysis of Cirrhosis Nursing Research on Web of Science.

The aims and objectives of this study were to (1) analyze the bibliometric characteristics of articles on Web of Science from 1986 to the present using literature mining and information visualization technologies developed by CiteSpace software, (2) reflect the current situation in this field as far as possible, and (3) provide evidence for improving research on nursing and clinical liver cirrhosis in Mainland China. No bibliometric analysis exists on Web of Science regarding cirrhosis nursing research. The status of current research, including hotspots and trends, has been assessed in this study through a bibliometric analysis. Literature related to cirrhosis and nursing was identified via Web of Science. Data were then analyzed using CiteSpace software. From 1986 to 2018, a total of 179 articles were published in 109 journals by 830 researchers in 36 countries/regions. The terms "cirrhosis," "management," and "quality of life" emerged most frequently and indicated the hotspots in liver cirrhosis nursing literature. Among all countries/regions, the United States contributed the most research overall; Asia also played an important role in the field of liver cirrhosis nursing research. The journal Gastroenterology Nursing published the greatest number of articles. Liver cirrhosis nursing research has attracted increasing amounts of attention around the world, although it remains less robust than other fields. Cirrhosis nursing research is still in its infancy in Mainland China, and there is an urgent need for additional support from government or research institutions to improve this research focus and promote international acceptance of the research outcomes.

Use of AMSTAR-2 in the methodological assessment of systematic reviews: protocol for a methodological study.

BackgroundSystematic reviews (SRs) with or without meta-analyses (MAs) are widely used in resolving questions in various healthcare areas (such as, traditional Chinese medicine, public health and surgery), and they are the cornerstone of evidence-based healthcare. However, the reliability of SRs is typically influenced by their methodological quality. AMSTAR (A Measurement Tool to Assess Systematic Reviews) and AMSTAR-2 tools can assess the methodological quality of SRs, and the use of AMSTAR has been investigated. However, AMSTAR-2 is now widely used to evaluate the methodological quality of SRs, but the use of AMSTAR-2 for determining the methodological quality of SRs has not yet been investigated and assessed thoroughly. Thus, we designed the present study to investigate the use of AMSTAR-2 in studies that assessed the methodological quality of a sample of SRs with the AMSTAR-2 and provide references to potential users of AMSTAR-2 tool.MethodsFour commonly used electronic databases including PubMed, EmBase, the Cochrane Library, and Web of Science will be searched following a comprehensive search strategy to identify and retrieve studies that have used AMSTAR-2 tool for evaluating the methodological quality of SRs. Two independent authors will retrieve bibliometric information and methodological data, including all author names, time of publication, and journal names, whether a specific score value was given for each item, and whether overall quality assessment was performed. Descriptive statistical analyses will be used to present the study results, e.g., frequencies and percentages, mean and standard deviation (SD) or median and interquartile range (IQR). In addition, subgroup analyses will be performed to identify the methodological differences (e.g., the reporting of study designs included in SRs) between overviews and methodological studies. The risk ratio (RR) with 95% confidence interval (95% CI) will be calculated to measure the methodological differences. Cytoscape 3.7.1 software tool will be used to construct collaboration network maps. Further, Microsoft Office Excel 2016 and Stata 12.0 will be used to manage and analyze data.DiscussionThe results of this study will identify any gaps in the use of AMSTAR-2 and important bibliometric features, such as active researchers and journals, provide guidance to researchers in various healthcare areas (such as, traditional Chinese medicine and public health) for using AMSTAR-2 tool and help them in developing cooperation and submitting their manuscripts.

Investigation of the Bibliometric Features of the Articles on Socioscientific Issues

Investigation of the Bibliometric Features of the Articles on Socioscientific Issues

Boş Zaman ve Rekreasyon Konulu Tezler Üzerine Bibliyometrik Bir Çalışma

This study was carried out in order to evaluate the framework of the bibliometric characteristics of graduate theses in the field of leisure and recreation prepared in Turkey. Within the context of the research, graduate theses published in Turkey between 1987-2019 were examined. The data were obtained from the National Thesis Center (YOKTEZ) database of the Higher Education Council on 24-25.10.2019. Theses were scanned with the keywords “recreation”, “leisure”, “leisure time” and 536 graduate theses were included in the study. Theses included in the research were evaluated within the framework of parameters of “the year of publication, type of thesis, keywords, department, applied research method, data analysis technique, sub-dimensions and related concepts”. Distributions of percentage and frequency were analyzed in the analysis of the subject data; bibliometric analyses were used. As a result of the analysis, it is determined that the number of graduate theses related to recreation and leisure in physical education and sports sciences, recreation, landscape architecture and tourism departments are higher than other departments. It is observed that graduate theses are concentrated in recreation activities and recreational activities sub-dimension. In addition, it is concluded that recreation and leisure concepts are frequently examined as associated with the concepts of tourism, sports and landscape.

Mapping clinical reasoning literature across the health professions: a scoping review

BackgroundClinical reasoning is at the core of health professionals’ practice. A mapping of what constitutes clinical reasoning could support the teaching, development, and assessment of clinical reasoning across the health professions.MethodsWe conducted a scoping study to map the literature on clinical reasoning across health professions literature in the context of a larger Best Evidence Medical Education (BEME) review on clinical reasoning assessment. Seven databases were searched using subheadings and terms relating to clinical reasoning, assessment, and Health Professions. Data analysis focused on a comprehensive analysis of bibliometric characteristics and the use of varied terminology to refer to clinical reasoning.ResultsLiterature identified: 625 papers spanning 47 years (1968–2014), in 155 journals, from 544 first authors, across eighteen Health Professions. Thirty-seven percent of papers used the term clinical reasoning; and 110 other terms referring to the concept of clinical reasoning were identified. Consensus on the categorization of terms was reached for 65 terms across six different categories: reasoning skills, reasoning performance, reasoning process, outcome of reasoning, context of reasoning, and purpose/goal of reasoning. Categories of terminology used differed across Health Professions and publication types.DiscussionMany diverse terms were present and were used differently across literature contexts. These terms likely reflect different operationalisations, or conceptualizations, of clinical reasoning as well as the complex, multi-dimensional nature of this concept. We advise authors to make the intended meaning of ‘clinical reasoning’ and associated terms in their work explicit in order to facilitate teaching, assessment, and research communication.

Outlining the keyword co-occurrence trends in Shuanghuanglian injection research: A bibliometric study using CiteSpace III

ObjectiveTo explore the evolvement and new trends in the use of Shuanghuanglian injection (SHLI).MethodsChina National Knowledge Infrastructure (CNKI), PubMed, and Embase were extensively searched using the search terms “Shuanghuanglian injection” and “Shuanghuanglian fenzhen” to retrieve articles relevant to SHLI (1992–2020). Retrieved articles were further investigated by two authors to exclude those unrelated to SHLI. The bibliographical references of the included articles were exported as raw data and then treated using the CiteSpace tool to visualize the mapping of the SHLI research domain. Essential clusters and highly frequent keywords were quantified for further analysis. The clusters were automatically labeled by the algorithm of tf∗idf for objective analysis. Basic bibliometric features, including article types and yearly trend in article numbers were also determined and discussed.ResultsThe modules of the keywords of interest presented clear boundaries with a high modularity score (Q = 0.73). High-confidence clusters were identified, including bioactivity fingerprint (S = 0.99), equal pupils (S = 0.91), drug preparation department (S = 0.87), difficulty in respiration (S = 0.85), peristalsis (0.88), and Danshen powder injection (S = 0.94). The characteristic keywords in terms of frequency and burstiness were Shuanghuanglian powder for injection (F = 235, B = 5.22), SHLI (F = 112, B = 11.39), and adverse drug reactions (ADRs; F = 104, B = 7.35).ConclusionIn the field of SHLI study, there are five major topic categories: bioactivity fingerprint; ADR mechanism and cause detection; proper preparation; clinical evidence accumulation; and efficacy in diseases with no effective treatment and combination usage. The trend for using modern methodologies from a science-based perspective to study SHLI will continue to exist. The causes of multi-factorial ADRs may be an important topic for future studies.

The top 100 most cited articles in rosacea: a bibliometric analysis.

Many articles in rosacea have been published. Bibliometric analysis is helpful to determine the most influential studies in a specific field. To identify the top 100 most cited articles in rosacea using the bibliometric analysis method. We searched in the Web of Science database on 20 November 2019. Articles were listed in descending order by their total citations. The top 100 most cited articles in rosacea were identified and analysed. The top 100 most cited articles were published between 1971 and 2015. The largest number of articles was published in a single interval in 2011-2015. The average annual citations were constantly ascending, and the total citations were positively correlated with annual citations. The 100 articles were classified into different research focuses: treatment (35%), pathogenesis (27%), clinical features and diagnosis (14%), pathophysiology (6%), associated diseases (4%), epidemiology (3%) and others (11%). A total of 19 articles were randomized controlled trials (RCT), 14 focused on the association between rosacea and Demodex, and five focused on the association between rosacea and Helicobacter pylori. Twenty-five publications focused on a specific subtype of rosacea, mainly papulopustular and ocular rosacea. The 100 articles were published in 32 journals. A total of 79 different first corresponding authors were from 20 different countries, mostly in North America and Europe. Steinhoff. M from University of California published the most articles as the corresponding author. This study identified the top 100 most cited articles in rosacea and analysed their bibliometric characteristics, which may pave the way for further research.

The 100 Top-Cited Studies About Pain and Depression.

With the estimated high prevalence in the population, the two symptoms of pain and depression threaten the well-being of millions worldwide. Researches of the two symptoms increased year by year. Top-cited studies will help to understand the achievement and guide researchers toward the direction of the research field. However, it is unclear for researches in the field of pain and depression. In this paper, we reviewed the bibliometric characteristics of the top-cited papers about pain and depression. We will review the evidence of authorship, country of origin, institution, journal, study type, and publication year for the 100 top-cited studies on pain and depression based on the Web of Science Core collection. We also highlight studies with the highest cited times. Our study concluded that pain and depression were correlated, which may share common biological pathways.

The landscape of microbiota research in Iran; a bibliometric and network analysis.

To introduce bibliometric features of Iranian documents on microbiota and to provide descriptive information about retrieved documents related to the medical sciences and documents utilizing molecular techniques for microbiota detection. This is a descriptive bibliometric study of all Iranian documents on microbiota in any language that were indexed in Scopus before 7 September 2019. We assessed the research performance through statistical analysis of the bibliometric indicators, including number of publications, citations, institutions and journals activities, co-citations and bibliographic couplings, and network analysis of co-authorships, countries' collaborations, terms and keywords. We extracted 425 relevant documents, 260 of which pertain to the medical sciences. The most focused microbiota modulating interventions and diseases in 33 clinical trials are 'synbiotics' (n = 8) and 'probiotics' (n = 8), and 'Obesity' (n = 3) and 'non-alcoholic fatty liver disease' (n = 3), respectively. During the last decade, Iranian microbiota publications have increasingly grown with a constant upward slope, particularly in the area of medical sciences after 2016. Citation counting reveals that originals and reviews have been cited 4221 times, with an average 10.76 citations and H-index of 34. The most significant performance in publishing Iranian microbiota documents belongs to 'Tehran University of Medical Sciences' as the active institution (n = 89 publications) and the supporting sponsor (n = 19), 'Microbial Pathogenesis' as the productive journal (n = 12), 'Seidavi A' as the most authorships (n = 19), and 'the United States' as the collaborative country (n = 46). The qualitative and quantitative information of this study will be a practical guidance for future study planning and policy-decision making.

Gender gap in research: a bibliometric study of published articles in primary health care and general internal medicine.

Many studies examined gender inequalities in research, but only a few data are available for general biomedical journals. We assessed the prevalence of female first authorship in general biomedical journals and examined its variations across a number of author, article and journal characteristics. This study was nested within a larger project designed to analyze the bibliometric characteristics of scientific articles. We retrieved 767 randomly selected articles published in 2016 in high impact factor journals of primary healthcare (n = 9) and general internal medicine (n = 9). We extracted the following data: author (gender, number of publications and affiliation of the first author), paper (number of authors, number of participants and study design) and journal characteristics (journal discipline and 2015 impact factor). We compared the proportion of articles authored by women and men using univariate and multivariate logistic regressions adjusted for intra-cluster correlations. The female authorship proportion was 48% (63% for primary healthcare and 33% for general internal medicine, P-value < 0.001). In multivariate analysis, women published fewer articles (<5 versus >15 publications: OR 1.6 [95% CI 1.1-2.4]), were more often affiliated with institutions in the Western world (OR 2.2 [95% CI 1.2-3.9]), were more likely to publish qualitative studies (versus systematic reviews or experiments: OR 2.7 [95% CI 1.5-4.8]) and to publish in primary healthcare journals (OR 1.7 [95% CI 1.1-2.7]). The underrepresentation of women in articles published by general internal medicine journals, in articles from the non-Western world and in systematic reviews and trials should be addressed.

Identification of highly-cited papers using topic-model-based and bibliometric features: the consideration of keyword popularity

Abstract The number of received citations have been used as an indicator of the impact of academic publications. Developing tools to find papers that have the potential to become highly-cited has recently attracted increasing scientific attention. Topics of concern by scholars may change over time in accordance with research trends, resulting in changes in received citations. Author-defined keywords, title and abstract provide valuable information about a research article. This study performs a latent Dirichlet allocation technique to extract topics and keywords from articles; five keyword popularity (KP) features are defined as indicators of emerging trends of articles. Binary classification models are utilized to predict papers that were highly-cited or less highly-cited by a number of supervised learning techniques. We empirically compare KP features of articles with other commonly used journal-related and author-related features proposed in previous studies. The results show that, with KP features, the prediction models are more effective than those with journal and/or author features, especially in the management information system discipline.

A Bibliometric Analysis of Articles Published in Brazilian Dental Journal over 30 years.

This study assessed bibliometric characteristics of all articles published in Brazilian Dental Journal (BDJ) in its 30 years of existence (1990-2019) and factors associated with citation rates. A document search was carried out in Scopus in December, 2019 and information about the articles were exported, including citations. Type of study and main subject in each article were categorized. Number of citations was categorized in tertiles. Logistic regression models were used to assess the association between variables related to articles' characteristics and number of citations. In 30 years, 1705 articles were published and 18507 citations received, with average 57 articles and 334 pages published yearly and 10.9 cites/doc. The most frequent types of study were laboratorial (63%), clinical (18.5%), and case reports (11%); the main subjects were dental materials (21.6%), endodontics (19.3%), and oral pathology/stomatology (13.1%). Most articles had origin in Brazil (90%), followed by USA (4.6%) and UK (1.5%). Aside from BDJ, Journal of Endodontics (3.5%) and International Endodontic Journal (2.2%) were journals that most often cited BDJ. Main origins of citations were Brazil (36.7%), USA (10.6%), and India (9%). Older articles had higher odds to be highly cited (12% increase/year), longer articles had lower odds (9% decrease/page). Narrative reviews and epidemiological studies were associated with more citations and systematic reviews with less citations. In conclusion, BDJ covered many subjects and study types in 30 years, showing increased growth in international audience. The journal may be regarded as one of the leading Brazilian journals in dentistry published in English.