Bibliometric analysis of the top-cited articles on islet transplantation

Portal hypertension research activity: A bibliometric analysis

Purpose: Portal hypertension (PHT) is a clinical syndrome characterized by a portal vein pressure gradient exceeding 5 mm Hg. Portal hypertensive complications have high morbidity and mortality. The present study aimed to provide an overview of portal hypertension research, as well as investigate the publications and citations of countries, authors, and institutions, international cooperation, and the density of terms used, employ a bibliometric analysis method, and shed light on future research. Materials and Methods: The search was performed on the Web of Science (WoS) on October 21, 2021. The term "Portal hypertension" was searched in the paper "title" section between 01.01.2001 and 31.12.2020. The software VOS viewer (Version 1.6.17), which shows the partnership mesh in bibliometric works, was used to analyze the data obtained. Results: The most frequently used keyword was portal hypertension with 46.4%, followed by cirrhosis with 11.1% and liver cirrhosis with 7.4%. In our study, the most effective journals related to portal hypertension were the World Journal of Gastroenterology (86 articles, 1264 citations), the Journal of Hepatology (45 articles, 2781 citations), and Hepatology (44 articles, 3769 citations), and Gastroenterology had the highest average citation (117.8). Conclusion: The present study offers an alternative viewpoint on global research trends in portal hypertension between 2001 and 2020 and is the first bibliometric analysis of portal hypertension, an issue with an increasing publication trend. We believe that by providing comprehensive and structured information on portal hypertension, the study will assist researchers in identifying publication hotspots and gaps on the subject.

The 100 top-cited articles in macular edema from 1950 to 2020

Objectives: Systematically summarize the trend of research and the orientation of macular edema in recent decades by analyzing the characteristics of the 100 top-ranked articles.Methods: The 100 most cited papers on macular edema published from January 1, 1950, to August 27, 2020, were reviewed by Web of Science (including the Scientific Citation Index). The each article is analyzed by extracting information such as the publication date, journal, author, country of origin, institution, number of citations, research topics, and research design types. Results: Among the 100 articles, the highest cited number was 1907, and the lowest cited number was 166. These articles were published in 18 journals from 1983 to 2016, as well as in 10 countries. The most published newspapers were Ophthalmology (n = 51). The countries were the USA (n = 66). Out of 100 articles, 12 institutions and 10 authors contributed over 3 articles. The emphasis of these studies was placed on clinical studies. The most prevalent design type was the randomized controlled trial (n = 42). The etiology on macular edema can be divided into diabetic (n = 68), retinal vein occlusion (n = 21), and other (n = 11), of which the most common research topic is the non-surgical treatment of macular edema (n = 65).Conclusion: This study analyzed the research trends and progress of macular edema in the past 70 years, emphasizing the treatment of diabetic macular edema and the contribution of USA in the study of macular edema.

Vigorously Cited: A Bibliometric Analysis of the 500 Most Cited Physical Activity Articles

BACKGROUND

To date, no citation analysis has been conducted in the physical activity field, which can contribute to assess the impact of this research field and identify knowledge gaps. Therefore, this study aimed to identify the 500 most cited physical activity publications and report their bibliometric characteristics.

METHODS

The Web of Science database (all database indexes) was searched, and bibliometric characteristics were imported and calculated.

RESULTS

A total of 520 publications were ranked as the top 500. The sum of the citations was 326,258, and the average citation density was 41.0 (45.1) citations per year. Original research articles constituted the major portion of included publications (53.7%; 170,774 citations). Papers reporting relationship of physical activity with health were the most prevalent type of publication included (43.7%; 141,027 citations). Journal impact factor had a weak but significant positive correlation with citation density (r = .12; P = .006). The United States was ranked first in terms of the contributions from institutions and authors contributing to the most cited physical activity papers.

CONCLUSIONS

Top physical activity publications are well cited compared with other health behavior fields. Original research reporting on the associations between physical activity and health has a higher citation impact compared with other types of original research within the physical activity field. The physical activity research field continues to expand rapidly as newer publications attract more citations in a shorter time span compared with older publications.

The 100 top-cited articles on scrub typhus: a bibliometric analysis

Objective

The aims of this study were to analyze the characteristics of the 100 top-cited articles on scrub typhus (ST), and to assess the present research landscape and future research directions using bibliometric analysis.

Methods

Web of Science was used to conduct a bibliometric analysis of the 100 top-cited articles on ST. The articles were analyzed by publication year, number of citations, document type, journals, keywords, institutions, country of origin, and authorship.

Results

The top 100 articles on ST were published between 1945 to 2017. The number of citations ranges from 39 to 227 and the interquartile range was 35.5. The United States published the highest number (n=21) of articles. Mahidol University was the most prolific institution in terms of articles (n=14). The American Journal of Tropical Medicine and Hygiene was the journal with the most articles (n=14), and Paris DH was the most productive author in terms of the Hirsh-index, which was 10 for that author. The study revealed a significant correlation between the total number of citations and the number of authors (r=0.668, p < 0.001), number of institutions (r=0.692, p < 0.001), number of years since publication (r=0.869, p < 0.001), and number of countries involved (r=0.963, p < 0.001).

Conclusion

The findings of this study provide landmarks in the publication and citation frequency of the most influential articles on ST. In addition, this study provides useful information for readers and health policy-makers in evaluating the literature on ST.

The Most-Cited Authors Who Published Papers in JMIR mHealth and uHealth Using the Authorship-Weighted Scheme: Bibliometric Analysis

Background

Many previous papers have investigated most-cited articles or most productive authors in academics, but few have studied most-cited authors. Two challenges are faced in doing so, one of which is that some different authors will have the same name in the bibliometric data, and the second is that coauthors’ contributions are different in the article byline. No study has dealt with the matter of duplicate names in bibliometric data. Although betweenness centrality (BC) is one of the most popular degrees of density in social network analysis (SNA), few have applied the BC algorithm to interpret a network’s characteristics. A quantitative scheme must be used for calculating weighted author credits and then applying the metrics in comparison.

Objective

This study aimed to apply the BC algorithm to examine possible identical names in a network and report the most-cited authors for a journal related to international mobile health (mHealth) research.

Methods

We obtained 676 abstracts from Medline based on the keywords “JMIR mHealth and uHealth” (Journal) on June 30, 2018. The author names, countries/areas, and author-defined keywords were recorded. The BCs were then calculated for the following: (1) the most-cited authors displayed on Google Maps; (2) the geographical distribution of countries/areas for the first author; and (3) the keywords dispersed by BC and related to article topics in comparison on citation indices. Pajek software was used to yield the BC for each entity (or node). Bibliometric indices, including h-, g-, and x-indexes, the mean of core articles on g(Ag)=sum (citations on g-core/publications on g-core), and author impact factor (AIF), were applied.

Results

We found that the most-cited author was Sherif M Badawy (from the United States), who had published six articles on JMIR mHealth and uHealth with high bibliometric indices (h=3; AIF=8.47; x=4.68; Ag=5.26). We also found that the two countries with the highest BC were the United States and the United Kingdom and that the two keyword clusters of mHealth and telemedicine earned the highest indices in comparison to other counterparts. All visual representations were successfully displayed on Google Maps.

Conclusions

The most cited authors were selected using the authorship-weighted scheme (AWS), and the keywords of mHealth and telemedicine were more highly cited than other counterparts. The results on Google Maps are novel and unique as knowledge concept maps for understanding the feature of a journal. The research approaches used in this study (ie, BC and AWS) can be applied to other bibliometric analyses in the future.

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.

Safety climate: Systematic literature network analysis of 38 years (1980-2018) of research

The objective of this paper is to examine the safety climate knowledge epistemology using bibliometric and systematic literature network analysis. For this purpose, bibliometric information of research article published on safety climate topic was retrieved from Scopus databases. In total, 494 articles published between 1980 and 2018 were retrieved. These articles cover 1373 authors, 203 journals and 2511 keywords. Information collected was analyzed employing bibliometric and network analysis approach using an open source computer program R and VOSviewer. The main findings of the study reveal the publication trends in safety climate literature since 1980 to present, identifies most productive authors, and most influential research work. Our findings suggest that Huang and Zohar are the top publishing authors in safety climate domain. Zohar's work has the highest citations. The most influential articles have been published in Journals such as Accident Analysis and Prevention, Journal of Applied Psychology, Safety Science and Journal of Safety Research. Network analysis of these articles yielded co-citation networks of most influential works, bibliographical coupling network and keywords co-occurrence network yielded the structure of safety climate knowledge. Findings of our research have theoretical and practical implications in the area of safety climate.

Whether productive authors using the national health insurance database also achieve higher individual research metrics: A bibliometric study

BACKGROUND

Many researchers use the National Health Insurance Research Database (HIRD) to publish medical papers and gain exceptional outputs in academics. Whether they also obtain excellent citation metrics remains unclear.

METHODS

We searched the PubMed database (http://www.ncbi.nlm.nih.gov/pubmed) using the terms Taiwan and HIRD. We then downloaded 1997 articles published from 2012 to 2016. An authorship-weighted scheme (AWS) was applied to compute coauthor partial contributions from the article bylines. Both modified x-index and author impact factor (AIF) proved complementary to Hirsch's h-index for calculating individual research achievements (IRA). The metrics from 4684 authors were collected for comparison. Three hundred eligible authors with higher x-indexes were located and displayed on Google Maps dashboards. Ten separate clusters were identified using social network analysis (SNA) to highlight the research teams. The bootstrapping method was used to examine the differences in metrics among author clusters. The Kano model was applied to classify author IRAs into 3 parts.

RESULTS

The most productive author was Investigator#1 (Taichung City, Taiwan), who published 149 articles in 2015 and included 803 other members in his research teams. The Kano diagram results did not support his citation metrics beyond other clusters and individuals in IRAs.

CONCLUSION

The AWS-based bibliometric metrics make individual weighted research evaluations possible and available for comparison. The study results of productive authors using HIRD did not support the view that higher citation metrics exist in specific disciplines.

Choropleth map legend design for visualizing the most influential areas in article citation disparities: A bibliometric study

BACKGROUND

Disparities in health outcomes across countries/areas are a central concern in public health and epidemiology. However, few authors have discussed legends that can be complemental to choropleth maps (CMs) and merely linked differences in outcomes to other factors like density in areas. Thus, whether health outcome rates on CMs showing the geographical distribution can be applied to publication citations in bibliometric analyses requires further study. The legends for visualizing the most influential areas in article citation disparities should have sophisticated designs. This paper illustrates the use of cumulative frequency (CF) map legends along with Lorenz curves and Gini coefficients (GC) to characterize the disparity of article citations in areas on CMs, based on the quantile classification method for classes.

METHODS

By searching the PubMed database (pubmed.com), we used the keyword "Medicine" [journal] and downloaded 7042 articles published from 1945 to 2016. A total number of 41,628 articles were cited in Pubmed Central (PMC). The publication outputs based on the author's x-index were applied to plot CM about research contributions. The approach uses two methods (i.e., quantiles and equal total values for each class) with CF legends, in order to highlight the difference in x-indices across geographical areas on CMs. GC was applied to observe the x-index disparities in areas. Microsoft Excel Visual Basic for Application (VBA) was used for creating the CMs.

RESULTS

Results showed that the most productive and cited countries in Medicine (Baltimore) were China and the US. The most-cited states and cities were Maryland (the US) and Beijing (China). Taiwan (x-index = 24.38) ranked behind Maryland (25.97), but ahead of Beijing (16.9). China earned lower disparity (0.42) than the US (0.49) and the rest of the world (0.53) when the GCs were applied.

CONCLUSION

CF legends, particularly using the quantile classification for classes, can be useful to complement CMs. They also contain more information than those in standard CM legends that are commonly used with other classification methods. The steps of creating CM legends are described and introduced. Bibliometric analysts on CM can be replicated in the future.

Bibliometric analysis of research on the trends in autophagy

Background

Autophagy is an important mechanism to maintain homeostasis in cells. It has been linked with ageing and many currently incurable diseases, including heart disease, cancer, myopathies, neurodegeneration, and diabetes. Autophagy research is very important for identifying better treatments. This study aimed to explore the hotspots of autophagy research published from different countries, organizations, and authors.

Methods

Between 1962 and 2018, articles published about autophagy were identified in the Web of Science database. The total and annual number of articles, citations, impact factor, Hirsch (H)-index, number of article citations, productive authors, and involved journals were collected for quantitative and qualitative comparisons.

Results

From 1962 to 2018, 18,811 autophagy-related articles written in English were published. Most were from China (6,731). The United States dominated in citation frequency (391,030) and h-index (264). Among related journals, Autophagy published the most articles (1,388), followed by Plos One (585) and Oncotarget (392). Daniel Klionsky was the most productive author, with 171 publications. The article “LC3, a mammalian homologue of yeast Apg8p, is localized in autophagosome membranes after processing” was cited most frequently. The top-ranked keyword was “degradation” of macroautophagy.

Conclusions

Publication of articles about autophagy has increased notably from 1962 to 2018, and has increased annually. The general quality of publications from China is still in need of improvement. Autophagy research has shifted gradually from basic studies to clinical studies in recent years.

Applying Gini coefficient to evaluate the author research domains associated with the ordering of author names: A bibliometric study

BACKGROUND

Team science research includes the number of coauthors in publications. Many papers have discussed the ordering of author names and the contributions of authors to a paper. However, no paper addresses the relation between authors' research domains and personal impact factors (PIF) with the ordering of author names. We aimed to apply Gini coefficient (GC) to evaluate the author research domains associated with the PIF and the ordering of author names on academic papers.

METHODS

By searching the PubMed database (Pubmed.com), we used the keyword "medicine" [journal] and downloaded 10,854 articles published from 1969 to 2018. A total number of 7502 articles labeled with complete author's countries/areas were included in data analysis. We also proposed a PIF index and jointly applied social network analysis (SNA), the GC, and Google Maps to report the following data with visual representations: the trend of author collaboration in Medicine; the dominant nations and keywords in Medicine; and the author research domains in Medicine associated with the PIF and the ordering of author names on academic papers.

RESULTS

The trend of author collaboration in Medicine is slightly declining (= -0.06) based on the number of authors per article. The mean number of individuals listed as authors in articles is 7.5. Most first authors are from China (3649, 48.64%) and Taiwan (847, 11.29%). The median of GC (0.32) and PIF (0.74) for the middle authors are obviously less than those for the first (0.53, 2.19) and the last authors (0.42, 2.61). A perfect positive linear relation with a large effect exists between GC and PIF because the correlation coefficient is 0.68 (>0.50, t = 2.48, n = 9).

CONCLUSION

Results suggest that the corresponding author is submitting the manuscript to the target journal with a core author's academic background and the personal impact factor related to the research domain and the journal scope in the future. As such, peer reviewers can quickly determine whether the manuscript is a potentially citable research paper.

Publication trend, resource utilization, and impact of the US National Cancer Database: A systematic review

BACKGROUND

The utilization and impact of the studies published using the National Cancer Database (NCDB) is currently unclear. In this study, we aim to characterize the published studies, and identify relatively unexplored areas for future investigations.

METHODS

A literature search was performed using PubMed in January 2017 to identify all papers published using NCDB data. Characteristics of the publications were extracted. Citation frequencies were obtained through the Web of Science.

RESULTS

Three hundred 2 articles written by 230 first authors met the inclusion criteria. The number of publications grew exponentially since 2013, with 108 articles published in 2016. Articles were published in 86 journals. The majority of the published papers focused on digestive system cancer, while bone and joints, eye and orbit, myeloma, mesothelioma, and Kaposi Sarcoma were never studied. Thirteen institutions in the United States were associated with more than 5 publications. The papers have been cited for a total of 9858 times since the publication of the first paper in 1992. Frequently appearing keywords congregated into 3 clusters: "demographics," "treatments and survival," and "statistical analysis method." Even though the main focuses of the articles captured a extremely wide range, they can be classified into 2 main categories: survival analysis and characterization. Other focuses include database(s) analysis and/or comparison, and hospital reporting.

CONCLUSION

The surging interest in the use of NCDB is accompanied by unequal utilization of resources by individuals and institutions. Certain areas were relatively understudied and should be further explored.