Dataset Information

The 100 most cited articles have fewer citations than other bibliometric articles: A pairwise comparison using a temporal bubble graph.

ABSTRACT:

Background

More than 400 articles with the title of 100 top-cited articles (Top100) have been published in PubMed. It is unknown whether their citations are fewer (or more) than those found in other bibliometric studies (Nontop100). After determining article themes using coword analysis, a temporal bubble graph (TBG) was used to verify the hypothesis that the Top100 had fewer citations than the Nontop100.

Methods

Using the Web of Science core collection, the top 50 most cited articles were compiled by Top100 and Nontop100, respectively, based on the research area of biomedicine and bibliometrics only. Coword analysis was used to extract themes. The study results were displayed using 6 different visualizations, including charts with bars, pyramids, forests, clusters, chords, and bubbles. Mean citations were compared between Top100 and Nontop100 using the bootstrapping method.

Results

There were 18 citations in total for the 2 sets of the 50 most cited articles (range 1-134; 5 and 26.5 for Top100 and Nontop100, respectively). A significant difference in mean citations was observed between the 2 groups of Top100 and Nontop100 based on the bootstrapping method (3, 95% confidence interval: [1.18, 4.82]; 26.5, 95% confidence interval: [23.82, 29.18], P < .001). The 11 themes were clustered using coword analysis and applied to a TBG, which is composed of 4 dimensions: themes, years, citations and groups of articles. Among the 2 groups, the majority of articles were published in the journal of Medicine (Baltimore), with 9 and 7, respectively.

Conclusion

Eleven themes were identified as a result of this study. In addition, it reveals distinct differences between the 2 groups of Top100 and Nontop100, with the former containing more recently published articles and the latter containing more citations for articles. Clinical and research clinicians and researchers can use bibliometric analysis to appraise published literature and to understand the scientific landmark using TBG in bibliometrics.

SUBMITTER: Hsieh WT

PROVIDER: S-EPMC9726414 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

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The 100 most cited articles have fewer citations than other bibliometric articles: A pairwise comparison using a temporal bubble graph.

Hsieh Wan-Ting WT Chien Tsair-Wei TW Chou Willy W

Medicine 20221201 48

<h4>Background</h4>More than 400 articles with the title of 100 top-cited articles (Top100) have been published in PubMed. It is unknown whether their citations are fewer (or more) than those found in other bibliometric studies (Nontop100). After determining article themes using coword analysis, a temporal bubble graph (TBG) was used to verify the hypothesis that the Top100 had fewer citations than the Nontop100.<h4>Methods</h4>Using the Web of Science core collection, the top 50 most cited arti ...[more]

PMID: 36482629

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Project description:BackgroundA neuromuscular junction (NMJ) (or myoneural junction) is a chemical synapse between a motor neuron (MN) and a muscle fiber. Although numerous articles have been published, no such analyses on trend or prediction of citations in NMJ were characterized using the temporal bar graph (TBG). This study is to identify the most dominant entities in the 100 top-cited articles in NMJ (T100MNJ for short) since 2001; to verify the improved TBG that is viable for trend analysis; and to investigate whether medical subject headings (MeSH terms) can be used to predict article citations.MethodsWe downloaded T100MNJ from the PubMed database by searching the string ("NMJ" [MeSH Major Topic] AND ("2001" [Date - Modification]: "2021" [Date - Modification])) and matching citations to each article. Cluster analysis of citations was performed to select the most cited entities (e.g., authors, research institutes, affiliated countries, journals, and MeSH terms) in T100MNJ using social network analysis. The trend analysis was displayed using TBG with two major features of burst spot and trend development. Next, we examined the MeSH prediction effect on article citations using its correlation coefficients (CC) when the mean citations in MeSH terms were collected in 100 top-cited articles related to NMJ (T100NMJs).ResultsThe most dominant entities (i.e., country, journal, MesH term, and article in T100NMJ) in citations were the US (with impact factor [IF] = 142.2 = 10237/72), neuron (with IF = 151.3 = 3630/24), metabolism (with IF = 133.02), and article authored by Wagh et al from Germany in 2006 (with 342 citing articles). The improved TBG was demonstrated to highlight the citation evolution using burst spots, trend development, and line-chart plots. MeSH terms were evident in the prediction power on the number of article citations (CC = 0.40, t = 4.34).ConclusionTwo major breakthroughs were made by developing the improved TBG applied to bibliographical studies and the prediction of article citations using the impact factor of MeSH terms in T100NMJ. These visualizations of improved TBG and scatter plots in trend, and prediction analyses are recommended for future academic pursuits and applications in other disciplines.

Project description:IntroductionIn the last 120 years, the field of pediatric urology has seen an exponential growth. In this time, there has not been a comprehensive review of top cited articles within the field.ObjectivesWe aim to identify and categorize the top 100 most cited peer-reviewed articles in pediatric urology using citation analysis.Study designWe searched for articles in the Web of Science™ Core Collection between 1900 and 2020 using terms specific to pediatric urology. We identified relevant pediatric urology articles and selected the top 100 most cited articles. We analysed trends over time for topics and categories and we evaluated the relatedness of these articles using citation analysis software.ResultsThe top 100 most cited articles in pediatric urology were published between 1958 and 2016 in 26 countries, across 181 institutions, and in 46 journals. The median number of citations per article was 268 (IQR 225.75-394.25). Clinical manuscripts were the most common among the top 100 cited articles (n = 64) and the most common topic was genital conditions (e.g., penile, inguinal, or testis but not including hypospadias) (n = 19; 16.5%; total citations = 6591). When using bibliometric software to analyse relatedness among the top 100 articles based on citation of one another, we identified 11 clusters of 3 or more articles which corresponded to topics like those we defined a priori (Summary Figure). We found that a greater proportion of articles describing surgical techniques were published prior to 1987 (n = 6, 38%) as compared to after 1987 (n = 11, 13%), while the proportion of basic science articles has increased.DiscussionThis is the first study to analyse the most cited articles in pediatric urology. There was a lower median citation per article and fewer prospective studies in this list compared to other urologic sub-specialties. Similar to other clinical specialties, the focus has moved from describing and comparing operative techniques to exploring mechanisms of disease. This study is limited by using a single parameter (citation rate) and a single citation database.ConclusionThe list of top 100 most cited articles in pediatric urology is an important resource for clinicians and trainees to understand the body of knowledge and trajectory of this field. It charts the evolution of the field and highlights areas of potential investigation. This objective approach to literature review can facilitate future research and education efforts.

Dataset Information

The 100 most cited articles have fewer citations than other bibliometric articles: A pairwise comparison using a temporal bubble graph.

Background

Methods

Results

Conclusion

Publications

The 100 most cited articles have fewer citations than other bibliometric articles: A pairwise comparison using a temporal bubble graph.

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