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

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          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.

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          Most cited references45

          • Record: found
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          Software survey: VOSviewer, a computer program for bibliometric mapping

          We present VOSviewer, a freely available computer program that we have developed for constructing and viewing bibliometric maps. Unlike most computer programs that are used for bibliometric mapping, VOSviewer pays special attention to the graphical representation of bibliometric maps. The functionality of VOSviewer is especially useful for displaying large bibliometric maps in an easy-to-interpret way. The paper consists of three parts. In the first part, an overview of VOSviewer’s functionality for displaying bibliometric maps is provided. In the second part, the technical implementation of specific parts of the program is discussed. Finally, in the third part, VOSviewer’s ability to handle large maps is demonstrated by using the program to construct and display a co-citation map of 5,000 major scientific journals.
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            • Article: not found

            An index to quantify an individual's scientific research output.

            I propose the index h, defined as the number of papers with citation number > or =h, as a useful index to characterize the scientific output of a researcher.
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              A first case of meningitis/encephalitis associated with SARS-Coronavirus-2

              Highlights • Novel coronavirus (SARS-Coronavirus-2:SARS-CoV-2) which emerged in Wuhan, China, has spread to multiple countries rapidly. • This is the first case of meningitis associated with SARS-CoV-2 who was brought in by ambulance. • The specific SARS-CoV-2 RNA was not detected in the nasopharyngeal swab but was detected in a CSF. • This case warns the physicians of patients who have CNS symptoms.
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                Author and article information

                Contributors
                Journal
                Medicine (Baltimore)
                Medicine (Baltimore)
                MD
                Medicine
                Lippincott Williams & Wilkins (Hagerstown, MD )
                0025-7974
                1536-5964
                02 December 2022
                02 December 2022
                : 101
                : 48
                : e32101
                Affiliations
                [a ] Department of Palliative Medicine, Chi-Mei Medical Center, Tainan, Taiwan
                [b ] Medical Research Department, Chi-Mei Medical Center, Tainan, Taiwan
                [c ] Department of Physical Medicine and Rehabilitation, Chiali Chi-Mei Hospital, Tainan, Taiwan
                [d ] Department of Physical Medicine and Rehabilitation, Chung San Medical University Hospital, Taichung, Taiwan.
                Author notes
                * Correspondence: Willy Chou, Department of Physical Medicine and Rehabilitation, Chi-Mei Medical Center, 901 Chung Hwa Road, Yung Kung Dist., Tainan 710, Taiwan (e-mail: smilewilly@ 123456mail.chimei.org.tw ).
                Author information
                https://orcid.org/0000-0003-1329-0679
                Article
                00114
                10.1097/MD.0000000000032101
                9726414
                36482629
                b7cfda37-8c09-40b5-9889-a28ace6c0a1f
                Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.

                History
                : 27 October 2022
                : 07 November 2022
                : 08 November 2022
                Categories
                4400
                Research Article
                Systematic Review and Meta-Analysis
                Custom metadata
                TRUE
                T

                100 top-cited articles,bibliometrics,coword analysis,pubmed,temporal bubble graph,web of science

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