With the ever-growing accessibility of case law online, it has become challenging to manually identify case law relevant to one\'s legal issue. In the Netherlands, the planned increase in the online publication of case law is expected to exacerbate this challenge. In this paper, we tried to predict whether court decisions are cited by other courts or not after being published, thus in a way distinguishing between more and less authoritative cases. This type of system may be used to process the large amounts of available data by filtering out large quantities of non-authoritative decisions, thus helping legal practitioners and scholars to find relevant decisions more easily, and drastically reducing the time spent on preparation and analysis. For the Dutch Supreme Court, the match between our prediction and the actual data was relatively strong (with a Matthews Correlation Coefficient of 0.60). Our results were less successful for the Council of State and the district courts (MCC scores of 0.26 and 0.17, relatively). We also attempted to identify the most informative characteristics of a decision. We found that a completely explainable model, consisting only of handcrafted metadata features, performs almost as well as a less well-explainable system based on all text of the decision.

UNASSIGNED: The aim of this study was to identify and appraise the bibliometric properties of top 100 most-cited articles on regenerative periodontics surgery (RPS).
UNASSIGNED: The bibliometric research technique was conducted using a dataset comprising the 100 highly cited articles obtained from Elsevier\'s Scopus database on RPS. Information regarding the growth of articles by year, number of citations, citations per year, study design, study field, modalities, journals, authors, and countries were extracted for each article. Microsoft Excel (v.16) was utilized for data evaluation and tabulation. These articles on RPS were published over a span of 45 years, from 1975 to 2019, with citation metrics ranging from 144 to 820. Out of the 422 participating authors, 82% contributed to a single article.
UNASSIGNED: The 100 most cited articles on RPS were published in 45 years from 1975 to 2019 and number of citations ranged from 144 to 820. Out of the 422 participating authors, 82% contributed in a single article.. The study design with the highest number of cited articles was laboratory/animal studies. Others/not specified was the preferred modality, followed by infrabony modality. The Journal of Periodontology published about one-fourth of the articles, with W. V. Giannobile emerging as the most productive author. Among the 100 most-cited articles on RPS, authors from 25 different countries contributed, with the United States producing half of the articles (n = 51). Bibliometric investigation revealed that the most cited papers published before 2000 had higher citation counts due to their longer period of exposure. The ratio of authors per article increased after the year 2000.
UNASSIGNED: Infrabony emerges as a trending topic in RPS, with laboratory/animal studies, clinical trials, and literature reviews being the most frequently employed study designs.

UNASSIGNED: Recurrent aphthous stomatitis (RAS) is a common oral mucosal disease. Despite a variety of scientific articles have been available till date, merely a few scientometric analyses have been systematically carried out in this field. The objective of this study was to recognize the hotspots and research trends related to RAS via bibliometric approach.
UNASSIGNED: The Elsevier\'s Scopus database was searched to retrieve qualified literature through an advanced search strategy on 9 Feb 2023. The basic information was collected as following: article type, publication year, journals, impact factor, the count of citations, citation density, keywords, authors, contributing institutions and country.
UNASSIGNED: A list of 986 publications were identified from 1933 to 2022, and the number of citations for each paper varied from 0 to 283. A steady increasing trend in the number of documents could be observed each decade with the summit in 2010s. Controlled study (n = 334) and major clinical study (n = 192) were the most common types of study design. Scully C (n = 26) was identified as the most productive author. United States (n = 166) and Turkey (n = 101) top the list of dedicating countries.
UNASSIGNED: This report would offer profound insight into the current status of RAS research and serve as a reference source for anyone planning to enhance the quality of future work.

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].