Scientometric studies play a crucial role in quantitatively assessing the impact and quantity of scholarly articles, providing a basis for policy-making and informed decision-making processes. Given the ongoing transformation within the Saudi scientific community across various domains, it is essential to establish a baseline for high-quality endodontic research. A comprehensive search in the PubMed database, using the keywords [\"Saudi\" OR \"Saudi Arabia\"] within the time frame of 2014 to 2021. The screening process involved evaluating the title and abstract of each article, with only those classified as endodontic articles included for analysis in this study. The analysis included factors such as the type of paper, the authors, the citations, and the year of publication. Featuring one or more authors affiliated with a Saudi dental institution, 70 papers were specifically categorized as endodontic papers. The most prevalent type of paper was case reports, accounting for 27 articles (28%), followed by literature reviews with 13 articles (18%). The number of authors ranged from one to ten, with a general trend of increasing publication rates over the years. In terms of citations, only four papers received more than 20 citations, while the majority of papers garnered between one and ten citations. Most articles in the field of endodontics exhibited low-level evidence. Therefore, it is recommended that the quality of research output and evidence be enhanced.

The challenges of IT adoption in the healthcare sector have generated much interest across a range of research communities, including Information Systems (IS) and Health Informatics (HI). Given their long-standing interest in IT design, development, implementation, and adoption to improve productivity and support organisational transformation, the IS and HI fields are highly correlated in their research interests. Nevertheless, the two fields serve different academic audiences, have different research foci, and theorise IT artifacts differently. We investigate the dyadic relationship between health information systems (HIS) research in IS and HI through the communication patterns between the two fields. We present the citation analysis results of HIS research published in IS and HI journals between 2000 and 2020. The results revealed that despite the two fields sharing a common interest, communication between them is limited and only about specific topics. Potentially relevant ideas and theories generated in IS have not yet been sufficiently recognised by HI scholars and incorporated into the HI literature. However, the upward trend of HIS publications in IS indicates that IS has the potential to contribute more to HI.

The development of artificial intelligence (AI) has revolutionised the medical system, empowering healthcare professionals to analyse complex nonlinear big data and identify hidden patterns, facilitating well-informed decisions. Over the last decade, there has been a notable trend of research in AI, machine learning (ML), and their associated algorithms in health and medical systems. These approaches have transformed the healthcare system, enhancing efficiency, accuracy, personalised treatment, and decision-making. Recognising the importance and growing trend of research in the topic area, this paper presents a bibliometric analysis of AI in health and medical systems. The paper utilises the Web of Science (WoS) Core Collection database, considering documents published in the topic area for the last four decades. A total of 64,063 papers were identified from 1983 to 2022. The paper evaluates the bibliometric data from various perspectives, such as annual papers published, annual citations, highly cited papers, and most productive institutions, and countries. The paper visualises the relationship among various scientific actors by presenting bibliographic coupling and co-occurrences of the author\'s keywords. The analysis indicates that the field began its significant growth in the late 1970s and early 1980s, with significant growth since 2019. The most influential institutions are in the USA and China. The study also reveals that the scientific community\'s top keywords include \'ML\', \'Deep Learning\', and \'Artificial Intelligence\'.

Recent evidence from citation analysis (Mitra et al., World Dev 135:105076, 2020) suggests that research published in top economic journals is becoming more influential in the development discourse. In this article, we argue that this trend has nontrivial implications for the development discourse on trade in general. Based on an analysis of more than 400 papers published in high-impact economic journals between 1997 and 2017, we highlight three core trade narratives that stand for different biases apparent in the elite economic discourse on trade: \"trade championing\", \"Ignorance in a world full of nails\" and \"microfounding trade benefits\". Further insights derived from citation analysis of five development studies journals and a case-study-oriented approach that focusses on the reception of this particular trade debate in World Development suggests that these biased trade narratives are effectively transmitted into development research.
UNASSIGNED: The online version contains supplementary material available at 10.1057/s41287-023-00583-z.
Des preuves récentes issues d\'analyses de citation [Mitra, S., Palmer, M, Vuon, V. (2020). Développement et interdisciplinarité : une analyse des citations. World Development, 135, 105076] suggèrent que les travaux de recherche publiés dans les meilleures revues économiques deviennent de plus en plus influents dans le récit du développement. Dans cet article, nous soutenons que cette tendance a des implications non négligeables pour le récit du développement relatif au commerce en général. Sur la base d\'une analyse de plus de 400 articles publiés dans des revues économiques à fort impact entre 1997 et 2017, nous mettons en évidence trois récits commerciaux fondamentaux qui représentent différents biais apparents dans le discours économique de l\'élite sur le commerce : « promouvoir le commerce», « L’ignorance dans un monde plein de clous » et « avantages commerciaux de la micro-fondation ». D\'autres informations tirées de l\'analyse des citations de cinq revues d\'études sur le développement et d\'une approche axée sur les études de cas qui se concentre sur la réception de ce débat commercial spécifique dans World Development suggèrent que ces récits commerciaux biaisés sont effectivement transmis dans la recherche sur le développement.

Naunyn-Schmiedeberg\'s Archives of Pharmacology is the oldest pharmacological journal, founded in 1873. This bibliometric analysis examines the pivotal transformations within Naunyn-Schmiedeberg\'s Archives of Pharmacology from 1947 to 1974, identifying significant shifts from a national focus to a period of extensive internationalization and English-language adoption. Employing Python and Beautiful Soup for data extraction from SpringerLink, the study maps the journal\'s trajectory through post-World War II development, highlighting the decline in publication rates due to its initial emphasis on German-language articles predominantly from Germany. The transition towards English publications in the late 1960s is marked as a turning point, catalyzing an increase in global citations, publications, and recognition. This period witnesses the journal broadening its scientific horizon, with a notable emphasis on the cholinergic, adrenergic, and dopaminergic systems, reflecting their central role in the journal\'s scientific discourse and citation prominence. The analysis demonstrates how shifting to English for academic publishing played a crucial role in revitalizing the journal\'s impact and visibility on the international stage.

OBJECTIVE: To analyze the bibliometric characteristics of the top 50 cited articles in elbow arthroscopy.
METHODS: The Web of Science Core Collection was employed to systematically retrieve publications related to elbow arthroscopy. Subsequently, the top 50 cited articles meeting the predefined inclusion criteria were meticulously documented and subjected to comprehensive bibliometric analysis.
RESULTS: The top 50 cited articles spanned the years 1999-2017, with the 2010s emerging as the most prolific decade. Citations per article varied from 24 to 211, and citation density ranged from 1.61 to 9.17. The United States dominated in article production and citations. Predominantly, the articles took the form of case series and expert opinions, with a notable absence of level I or II evidence. The keywords with the highest frequencies were \"arthrofibrosis,\" \"complications,\" and \"release.\" These keywords formed five main clusters: stiff elbow, osteoarthritis, osteochondritis dissecans, and lateral epicondylitis.
CONCLUSIONS: The majority of the top 50 cited articles in elbow arthroscopy comprised case series exhibiting Level IV or V evidence. Despite a dynamic development post-2010, elbow arthroscopy articles showed lower mean citations and citation density compared to other joints, potentially influenced by concerns about complications. However, with the increasing prevalence of elbow arthroscopy procedures, it is anticipated that higher-level articles, particularly those focusing on complications and exploring additional indications, will supersede some of the articles included in this analysis.
METHODS: IV.

Objective: To perform a bibliometric analysis in the field of biomarkers for systemic lupus erythematosus. Methods: Publications were from Web of Science. Microsoft Excel, VOSviewer, Science Mapping Analysis software Tool, CiteSpace and Tableau were used for analysis. Results: A total of 1112 publications were identified; 1503 institutions from 69 countries contributed, with the highest outputs from China and Karolinska University Hospital. Petri had a tremendous impact. Academic collaborations were localized. Lupus and Arthritis & Rheumatology were the top two journals in terms of publications and citations. Lymphocyte, autoantibody, type I interferon, genetic polymorphisms and urinary biomarkers have been high-frequency themes. Conclusion: Global collaboration needs to be further strengthened. Immune cell, cytokine and gene-level research as a whole and noninvasive tests are the future trends.
[Box: see text].

BACKGROUND: We performed a bibliometric study to identify the most-cited publications in MTC research and demonstrate how they highlight the most important historical developments in this area.
METHODS: Bibliometric data from papers published on the topic of MTC until December 31, 2022 was extracted from the Web of Science database. Analysis was performed utilizing Bibliometrix and VOSViewer software.
RESULTS: There has been a gradual increase in the number of publications on the topic of MTC over the years. The most cited publications focused on the underlying genetic basis for MTC, the use of targetted therapy, and guidelines. Recent research frontiers have focused on management, guidelines, and tyrosine kinase inhibitors.
CONCLUSIONS: Bibliometric study of the topic of MTC has allowed for identification, characterization and appreciation of many of the key historical developments in this field. Bibliometric analysis can also be helpful in identifying research frontiers.

In this paper, we consider sentences that contain multiple in-text references (MIR) and their position in the rhetorical structure of articles. We carry out the analysis of MIR in a large-scale dataset of about 80,000 research articles published by the Public Library of Science in 7 journals. We analyze two major characteristics of MIR: their positions in the IMRaD structure of articles and the number of in-text references that make up a MIR in the different journals. We show that MIR are rather frequent in all sections of the rhetorical structure. In the Introduction section, sentences containing MIR account for more than half of the sentences with references. We examine the syntactic patterns that are most used in the contexts of both multiple and single in-text references and show that they are composed, for the most part, of noun groups. We point out the specificity of the Methods section in this respect.

OBJECTIVE: To conduct a bibliometric network analysis to explore the research landscape of immediate implant placement (IIP) and provide insights into its trends and contributors.
METHODS: The Scopus database was utilized as the bibliographic source, and a search strategy was implemented to identify relevant research articles. Various bibliometric parameters were extracted, including publication year, journal, authors, citations, and funding. The analysis involved examining authorship patterns, international collaborations, level of evidence, Altmetric data, and funding analysis.
RESULTS: We identified a steady annual growth rate of 6.49% in IIP research. The top three countries contributing to research output were the USA, Italy, and China. Prolific authors were identified based on publication and citation metrics. International collaborations among different countries were observed. The level of evidence analysis revealed that over 30% of the articles fell into higher levels of evidence (levels 1 and 2). Altmetric data analysis indicated no significant correlations between citation counts and Altmetric Attention Score (AAS), and conversely a significant association with Mendeley readers count. Funding and open access did not significantly impact the bibliometric indices of the papers.
CONCLUSIONS: The focus of research on IIP has been evolving as indicated by an exponential growth rate in this study. Only approximately 16% of the articles fit into level 1 evidence, therefore, emphasizing on higher quality level research study shortage in this field. Modern indices can be used as new bibliometric indicators as they also cover social media and online attention scores.