Development and emerging trends of drug resistance mutations in HIV: a bibliometric analysis based on CiteSpace.

Background: Antiretroviral therapy has led to AIDS being a chronic disease. Nevertheless, the presence of constantly emerging drug resistance mutations poses a challenge to clinical treatment. A systematic analysis to summarize the advancements and uncharted territory of drug resistance mutations is urgently needed and may provide new clues for solving this problem. Methods: We gathered 3,694 publications on drug resistance mutations from the Web of Science Core Collection with CiteSpace software and performed an analysis to visualize the results and predict future new directions and emerging trends. Betweenness centrality, count, and burst value were taken as standards. Results: The number of papers on HIV medication resistance mutations during the last 10 years shows a wave-like trend. In terms of nation, organization, and author, the United States (1449), University of London (193), and Mark A. Wainberg (66) are the most significant contributors. The most frequently cited article is "Drug resistance mutations for surveillance of transmitted HIV-1 drug-resistance: 2009 update." Hot topics in this field include "next-generation sequencing," "tenofovir alafenamide," "children," "regimens," "accumulation," "dolutegravir," "rilpivirine," "sex," "pretreatment drug resistance," and "open label." Research on drug resistance in teenagers, novel mutation detection techniques, and drug development is ongoing, and numerous publications have indicated the presence of mutations related to current medications. Therefore, testing must be performed regularly for patients who have used medications for a long period. Additionally, by choosing medications with a longer half-life, patients can take fewer doses of their prescription, increasing patient compliance. Conclusion: This study involved a bibliometric visualization analysis of the literature on drug resistance mutations, providing insight into the field's evolution and emerging patterns and offering academics a resource to better understand HIV drug resistance mutations and contribute to the field's advancement.

Global research landscape on the contribution of de novo mutations to human genetic diseases over the past 20 years: bibliometric analysis.

As the contribution of de novo mutations (DNMs) to human genetic diseases has been gradually uncovered, analyzing the global research landscape over the past 20 years is essential. Because of the large and rapidly increasing number of publications in this field, understanding the current landscape of the contribution of DNMs in the human genome to genetic diseases remains a challenge. Bibliometric analysis provides an approach for visualizing these studies using information in published records in a specific field. This study aimed to illustrate the current global research status and explore trends in the field of DNMs underlying genetic diseases. Bibliometric analyses were performed using the Bibliometrix Package based on the R language version 4.1.3 and CiteSpace version 6.1.R2 software for publications from 2000 to 2021 indexed under the Web of Science Core Collection (WoSCC) about DNMs underlying genetic diseases on 17 September 2022. We identified 3435 records, which were published in 731 journals by 26,538 authors from 6052 institutes in 66 countries. There was an upward trend in the number of publications since 2013. The USA, China, and Germany contributed the majority of the records included. The University of Washington, Columbia University, and Baylor College of Medicine were the top-producing institutions. Evan E Eichler of the University of Washington, Stephan J Sanders of the Yale University School of Medicine, and Ingrid E Scheffer of the University of Melbourne were the most high-ranked authors. Keyword co-occurrence analysis suggested that DNMs in neurodevelopmental disorders and intellectual disabilities were research hotspots and trends. In conclusion, our data show that DNMs have a significant effect on human genetic diseases, with a noticeable increase in annual publications over the last 5 years. Furthermore, potential hotspots are shifting toward understanding the causative role and clinical interpretation of newly identified or low-frequency DNMs observed in patients.

Machine Learning-Based Approach for Identifying Research Gaps: COVID-19 as a Case Study.

BACKGROUND: Research gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Traditional methods for identifying research gaps, such as literature reviews and expert opinions, can be time consuming, labor intensive, and prone to bias. They may also fall short when dealing with rapidly evolving or time-sensitive subjects. Thus, innovative scalable approaches are needed to identify research gaps, systematically assess the literature, and prioritize areas for further study in the topic of interest. OBJECTIVE: In this paper, we propose a machine learning-based approach for identifying research gaps through the analysis of scientific literature. We used the COVID-19 pandemic as a case study. METHODS: We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. Our approach is based on the BERTopic topic modeling technique, which leverages transformers and class-based term frequency-inverse document frequency to create dense clusters allowing for easily interpretable topics. Our BERTopic-based approach involves 3 stages: embedding documents, clustering documents (dimension reduction and clustering), and representing topics (generating candidates and maximizing candidate relevance). RESULTS: After applying the study selection criteria, we included 33,206 abstracts in the analysis of this study. The final list of research gaps identified 21 different areas, which were grouped into 6 principal topics. These topics were: "virus of COVID-19," "risk factors of COVID-19," "prevention of COVID-19," "treatment of COVID-19," "health care delivery during COVID-19," "and impact of COVID-19." The most prominent topic, observed in over half of the analyzed studies, was "the impact of COVID-19." CONCLUSIONS: The proposed machine learning-based approach has the potential to identify research gaps in scientific literature. This study is not intended to replace individual literature research within a selected topic. Instead, it can serve as a guide to formulate precise literature search queries in specific areas associated with research questions that previous publications have earmarked for future exploration. Future research should leverage an up-to-date list of studies that are retrieved from the most common databases in the target area. When feasible, full texts or, at minimum, discussion sections should be analyzed rather than limiting their analysis to abstracts. Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.

Infodemic: Challenges and solutions in topic discovery and data process.

BACKGROUND: The Coronavirus Disease 2019 (COVID-19) pandemic was a huge shock to society, and the ensuing information problems had a huge impact on society at the same time. The urgent need to understand the Infodemic, i.e., the importance of the spread of false information related to the epidemic, has been highlighted. However, while there is a growing interest in this phenomenon, studies on the topic discovery, data collection, and data preparation phases of the information analysis process have been lacking. OBJECTIVE: Since the epidemic is unprecedented and has not ended to this day, we aimed to examine the existing Infodemic-related literature from January 2019 to December 2022. METHODS: We have systematically searched ScienceDirect and IEEE Xplore databases with some search limitations. From the searched literature we selected titles, abstracts and keywords, and limitations sections. We conducted an extensive structured literature search and analysis by filtering the literature and sorting out the available information. RESULTS: A total of 47 papers ended up meeting the requirements of this review. Researchers in all of these literatures encountered different challenges, most of which were focused on the data collection step, with few challenges encountered in the data preparation phase and almost none in the topic discovery section. The challenges were mainly divided into the points of how to collect data quickly, how to get the required data samples, how to filter the data, what to do if the data set is too small, how to pick the right classifier and how to deal with topic drift and diversity. In addition, researchers have proposed partial solutions to the challenges, and we have also proposed possible solutions. CONCLUSIONS: This review found that Infodemic is a rapidly growing research area that attracts the interest of researchers from different disciplines. The number of studies in this field has increased significantly in recent years, with researchers from different countries, including the United States, India, and China. Infodemic topic discovery, data collection, and data preparation are not easy, and each step faces different challenges. While there is some research in this emerging field, there are still many challenges that need to be addressed. These findings highlight the need for more articles to address these issues and fill these gaps.

Tracking trends in COVID-19 vaccines based on 47 different vaccines: A bibliometric review.

The COVID-19 epidemic in December 2019 had a significant negative impact on people's health and economies all across the world. The most effective preventive measure against COVID-19 is vaccination. Therefore, the development and production of COVID-19 vaccines is booming worldwide. This study aimed to analyze the current state of that research and its development tendency by bibliometrics. We conducted a thorough search of the Web of Science Core Collection. VOSviewer1.6.18 was used to perform the bibliometric analysis of these papers. A total of 6,325 papers were finally included. The USA maintained a top position worldwide. Shimabukuro Tom T and Harvard University were the most prolific author and institution. The Vaccines was the most published journal. The research hotspots of COVID-19 vaccines can be classified into vaccine hesitancy, vaccine safety and effectiveness, vaccine immunogenicity, and adverse reactions to vaccines. Studies on various vaccination types have also concentrated on efficacy against continuously developing virus strains, immunogenicity, side effects, and safety.

A bibliometric analysis of the theme trends and knowledge structures of pulmonary embolism from 2017 to 2021.

Background: Pulmonary embolism (PE) is a popular area of research in the field of respiratory medicine. We performed a bibliometric analysis based on PubMed database to characterize the distribution pattern of literature and knowledge structures related to PE. Methods: Literature pertaining to PE from January 1, 2017, to December 31, 2021, was retrieved from the PubMed database. Bibliographic information was generated using the Bibliographic Item Co-Occurrence Matrix Builder (BICOMB). The visualization matrix was established using gCLUTO software. Strategic diagram analysis was performed using GraphPad Prism 9 software. Social network analysis (SNA) was generated using Ucinet6.0 and NetDraw 2.084 software. Results: Out of all the retrieved MeSH terms and subheadings, 52 MeSH terms/MeSH subheadings with a high frequency were found, and hot subjects were sorted into 6 clusters. The strategy diagram showed that the epidemiology, etiology, and drug therapy of PE were well advanced. In contrast, studies on diagnostic imaging, pathology, and complications of PE were still immature and offered potential research space. Social network analysis showed that marginal topics such as surgical treatment of pulmonary hypertension, prevention and control of postoperative complications, and metabolism and analysis of fibrin/fibrinogen degradation products were emerging research hotspots. Conclusion: Objective analysis of the research developments in the field of PE can provide intuitive knowledge structure for researchers and clinicians. Analysis of the research hotspots related to PE is helpful for researchers and clinicians by highlighting future research directions.

Survey on sentiment analysis: evolution of research methods and topics.

Sentiment analysis, one of the research hotspots in the natural language processing field, has attracted the attention of researchers, and research papers on the field are increasingly published. Many literature reviews on sentiment analysis involving techniques, methods, and applications have been produced using different survey methodologies and tools, but there has not been a survey dedicated to the evolution of research methods and topics of sentiment analysis. There have also been few survey works leveraging keyword co-occurrence on sentiment analysis. Therefore, this study presents a survey of sentiment analysis focusing on the evolution of research methods and topics. It incorporates keyword co-occurrence analysis with a community detection algorithm. This survey not only compares and analyzes the connections between research methods and topics over the past two decades but also uncovers the hotspots and trends over time, thus providing guidance for researchers. Furthermore, this paper presents broad practical insights into the methods and topics of sentiment analysis, while also identifying technical directions, limitations, and future work.

Profiling the Research Activities of Canadian Occupational Therapy and Occupational Science Faculty Members.

Background. There is a lack of knowledge on the scope and nature of the research by faculty members in occupational science (OS) and/or occupational therapy (OT) programs in Canada. Purpose. To describe the research activities of faculty members in these programs and directions. Method. A cross-sectional survey was distributed to 173 faculty members across all 14 Canadian OT that addressed: 1) research topics and methods, 2) populations, and 3) funding. Findings. Based on respondents (N = 121), research is focused on a range of topics and populations with most conducting qualitative research. Many conduct research examining the effectiveness of interventions, with few respondents focused on OS research. Federal and provincial grants agencies were the largest source of funding. Implications. Research topics studied were not always proportional to practice although emerging areas were being investigated that can expand the evidence base and scope of practice. Despite limited occupation-specific funding options, respondents were accessing funding from varied sources. Collaborations among faculty members, clinicians, and individuals with lived experience can create priorities for future OS and/or OT research in Canada.

Content Analysis of Abstracts Published in Autism Journals in 2021: The year in Review.

PURPOSE: Ever since Leo Kanner first described autism in 1943, the research in this field has grown immensely. In 2021 alone, 5837 SCOPUS indexed documents were published with a title that contained the words: "autism", "autistic", or "ASD". The purpose of this study was to examine the most common topics of autism research in 2021 and present a geographical contribution to this research. METHODS: We performed a content analysis of 1102 abstracts from the articles published in 11 Autism journals in 2021. The following journals, indexed by the SCOPUS database, were included: Autism, Autism Research, Molecular Autism, Journal of Autism and Developmental Disorders, Research in Autism Spectrum Disorders, Focus on Autism and Other Developmental Disabilities, Education and Training in Autism and Developmental Disabilities, Review Journal of Autism and Developmental Disorders, Advances in Autism, Autism and Developmental Language Impairments, and Autism in Adulthood. RESULTS: According to the analysis, the main research topics were: mental health, social communication, social skills, quality of life, parenting stress, ADHD, Covid-19, self-efficacy, special education, and theory of mind. In relation to geographic distribution, most studies came from the USA, followed by the UK, Australia, and Canada. CONCLUSION: Research topics were aligned with the priorities set by stakeholders in autism, most notably persons with autism themselves and their family members. There is a big gap in research production between developed countries and developing countries.

Bibliometric development of Naunyn-Schmiedeberg's Archives of Pharmacology.

Motivated by the 150-year anniversary of the Naunyn-Schmiedeberg's Archives of Pharmacology in 2023, we studied the bibliometric development of the journal. We evaluated data from Editorial Reports, Clarivate, and Springer Nature databases. Several parameters representing the journal's performance, such as the impact factor and social impact, were analyzed over the years. We analyzed the journal's meta-data and wrote an algorithm to retrieve cities and countries of origin. We could see a decrease in publications from Germany and an increase in papers from Brazil, China, Egypt, and Iran during the last years. The decrease in publications from Germany is probably a zeitgeist effect because this country places a strong emphasis on high-impact factor papers for academic promotion and winning grants. Germany was the country with the most publications throughout the 100 most-cited articles. Most of these articles were published between 1970 and 1990, when neurotransmitters were the most published topic. Klaus Starke (Freiburg) and Manfred Göthert (Bonn) were prominent drivers of this field. The most common topics nowadays are "Drugs for the Treatment of Malignant Tumor Diseases" and "Immunopharmacology." The internationality of the journal substantially increased after introduction of English as mandatory language in the 1970s. The journal also experienced substantial COVID-19 pandemic-related effects. This paper is not only of relevance for the field of pharmacology but for science in general in the sense that Naunyn-Schmiedeberg's Archives of Pharmacology is a case study for profound changes in a traditional scientific journal, requiring permanent adjustment by editors, referees, publisher, authors, and readers alike. The development of the journal has been strongly influenced by historic and political developments, cultural attitudes (zeitgeist), language changes, global changes in research topics, and eminent individuals who published many papers in Naunyn-Schmiedeberg's Archives of Pharmacology.

Mapping Neuroscience in the Field of Education through a Bibliometric Analysis.

This study aimed to explore the core knowledge topics and future research trends in neuroscience in the field of education (NIE). In this study, we have explored the diffusion of neuroscience and different neuroscience methods (e.g., electroencephalography, functional magnetic resonance imaging, eye tracking) through and within education fields. A total of 549 existing scholarly articles and 25,886 references on neuroscience in the field of education (NIE) from the Web of Science Core Collection databases were examined during the following two periods: 1995-2013 and 2014-2022. The science mapping software Vosviewer and Bibliometrix were employed for data analysis and visualization of relevant literature. Furthermore, performance analysis, collaboration network analysis, co-citation network analysis, and strategic diagram analysis were conducted to systematically sort out the core knowledge in NIE. The results showed that children and cognitive neuroscience, students and medical education, emotion and empathy, and education and brain are the core intellectual themes of current research in NIE. Curriculum reform and children's skill development have remained central research issues in NIE, and several topics on pediatric research are emerging. The core intellectual themes of NIE revealed in this study can help scholars to better understand NIE, save research time, and explore a new research question. To the best of our knowledge, this study is one of the earliest documents to outline the NIE core intellectual themes and identify the research opportunities emerging in the field.

Ethical and Methodological Considerations of Twitter Data for Public Health Research: Systematic Review.

BACKGROUND: Much research is being carried out using publicly available Twitter data in the field of public health, but the types of research questions that these data are being used to answer and the extent to which these projects require ethical oversight are not clear. OBJECTIVE: This review describes the current state of public health research using Twitter data in terms of methods and research questions, geographic focus, and ethical considerations including obtaining informed consent from Twitter handlers. METHODS: We implemented a systematic review, following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, of articles published between January 2006 and October 31, 2019, using Twitter data in secondary analyses for public health research, which were found using standardized search criteria on SocINDEX, PsycINFO, and PubMed. Studies were excluded when using Twitter for primary data collection, such as for study recruitment or as part of a dissemination intervention. RESULTS: We identified 367 articles that met eligibility criteria. Infectious disease (n=80, 22%) and substance use (n=66, 18%) were the most common topics for these studies, and sentiment mining (n=227, 62%), surveillance (n=224, 61%), and thematic exploration (n=217, 59%) were the most common methodologies employed. Approximately one-third of articles had a global or worldwide geographic focus; another one-third focused on the United States. The majority (n=222, 60%) of articles used a native Twitter application programming interface, and a significant amount of the remainder (n=102, 28%) used a third-party application programming interface. Only one-third (n=119, 32%) of studies sought ethical approval from an institutional review board, while 17% of them (n=62) included identifying information on Twitter users or tweets and 36% of them (n=131) attempted to anonymize identifiers. Most studies (n=272, 79%) included a discussion on the validity of the measures and reliability of coding (70% for interreliability of human coding and 70% for computer algorithm checks), but less attention was paid to the sampling frame, and what underlying population the sample represented. CONCLUSIONS: Twitter data may be useful in public health research, given its access to publicly available information. However, studies should exercise greater caution in considering the data sources, accession method, and external validity of the sampling frame. Further, an ethical framework is necessary to help guide future research in this area, especially when individual, identifiable Twitter users and tweets are shared and discussed. TRIAL REGISTRATION: PROSPERO CRD42020148170; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=148170.

Tracking Openness and Topic Evolution of COVID-19 Publications January 2020-March 2021: Comprehensive Bibliometric and Topic Modeling Analysis.

BACKGROUND: The COVID-19 outbreak highlighted the importance of rapid access to research. OBJECTIVE: The aim of this study was to investigate research communication related to COVID-19, the level of openness of papers, and the main topics of research into this disease. METHODS: Open access (OA) uptake (typologies, license use) and the topic evolution of publications were analyzed from the start of the pandemic (January 1, 2020) until the end of a year of widespread lockdown (March 1, 2021). RESULTS: The sample included 95,605 publications; 94.1% were published in an OA form, 44% of which were published as Bronze OA. Among these OA publications, 42% do not have a license, which can limit the number of citations and thus the impact. Using a topic modeling approach, we found that articles in Hybrid and Green OA publications are more focused on patients and their effects, whereas the strategy to combat the pandemic adopted by different countries was the main topic of articles selecting publication via the Gold OA route. CONCLUSIONS: Although OA scientific production has increased, some weaknesses in OA practice, such as lack of licensing or under-researched topics, still hold back its effective use for further research.

Impactful scientists have higher tendency to involve collaborators in new topics.

In scientific research, collaboration is one of the most effective ways to take advantage of new ideas, skills, and resources and for performing interdisciplinary research. Although collaboration networks have been intensively studied, the question of how individual scientists choose collaborators to study a new research topic remains almost unexplored. Here, we investigate the statistics and mechanisms of collaborations of individual scientists along their careers, revealing that, in general, collaborators are involved in significantly fewer topics than expected from a controlled surrogate. In particular, we find that highly productive scientists tend to have a higher fraction of single-topic collaborators, while highly cited-i.e., impactful-scientists have a higher fraction of multitopic collaborators. We also suggest a plausible mechanism for this distinction. Moreover, we investigate the cases where scientists involve existing collaborators in a new topic. We find that, compared to productive scientists, impactful scientists show strong preference of collaboration with high-impact scientists on a new topic. Finally, we validate our findings by investigating active scientists in different years and across different disciplines.

To Have the Best Interest at Heart: Analyzing the Match Between Laypersons' Interests and Publication Activity in Psychology.

There is a growing public interest in science and, by extension, in psychology, and human behavior. Yet, detailed investigations on whether academic psychological research activity matches lay interests are still scarce. In addition, while lay-friendly communication of research findings becomes continually more important, it is unclear which subfields of psychological research are particularly interesting to laypeople. To address these research gaps, we carried out an explorative study of psychological literature included in two large reference databases, one with a German (PSYNDEX) and one with an international (PsycInfo) scope. The years of 2018-2020 were scanned for articles belonging to one of 20 topic areas assessed as most interesting by lay participants in a previous study. We determined and compared the share of empirical research and research syntheses for each topic area and database and computed rank correlations between lay interest and academic publication volume. Results suggest a positive relationship between lay interest and academic publication activity specifically for research syntheses. Additionally, topic areas associated with clinical psychology offered a large share of research syntheses, while other topic areas such as "Psychodynamics" or "Industrial & Organizational Psychology" encompassed a smaller share of syntheses. Finally, we outline perspectives for long-term monitoring of psychology-related lay interests. Thus, the present study connects academic activity with the public interest in psychology by identifying and quantifying research syntheses for topics garnering the most lay interest.

Identifying Topics and Evolutionary Trends of Literature on Brain Metastases Using Latent Dirichlet Allocation.

Research on brain metastases kept innovating. We aimed to illustrate what topics the research focused on and how it varied in different periods of all the studies on brain metastases with topic modelling. We used the latent Dirichlet allocation model to analyse the titles and abstracts of 50,176 articles on brain metastases retrieved from Web of Science, Embase and MEDLINE. We further stratified the articles to find out the topic trends of different periods. Our study identified that a rising number of studies on brain metastases were published in recent decades at a higher rate than all cancer articles. Overall, the major themes focused on treatment and histopathology. Radiotherapy took over the first and third places in the top 20 topics. Since the 2010's, increasing attention concerned about gene mutations. Targeted therapy was a popular topic of brain metastases research after 2020.

Visualizing Research Trends on Culture Neuroscience (2008-2021): A Bibliometric Analysis.

Recently, cultural neuroscience has gained attention as a new, important, and interdisciplinary topic in the field of neuroscience. It helps us understand the interaction of cultural and biological factors over the course of life. This study aims to provide a comprehensive overview of the field to readers and potential researchers engaged in cultural neuroscience research. A bibliometric analysis was performed on 113 articles in the field of cultural neuroscience from 2008 to 2021 using data from the core collection of Web of Science. Network visualization software VOSviewer and ITGInsight were used for performance analysis and science mapping. Specifically, the performance analysis included countries, institutions, authors, papers, and journals, while science mapping analyzed the collaboration network, keyword network, bibliographic coupling network, and time series evolution. The results showed that the United States was the most productive country, Northwestern University was the most influential research institution, Chiao Jy was the most influential scholar, and "Social Cognitive and Affective Neuroscience" made the greatest contribution to publishing in the field of cultural neuroscience. Furthermore, collaboration is expected to be the development trend in the future. The key research topics in the field of cultural neuroscience included neuroimaging and psychiatric diseases, theoretical methods, interdisciplinary research, cultural differences (collectivism and individualism), and brain functions. Finally, future research will focus on cultural neuroscience, culture, and self, while adolescence will be the emerging research frontier.

Mapping theme trends and knowledge structure of Sjögren's syndrome (SS), a bibliometric analysis from 2010 to 2021.

BACKGROUND: Sjögren's syndrome is an autoimmune disease with a complicated pathophysiology, and treatment strategies are in desperate need of improvement. In this research, we provide the literature topic trends and knowledge structure connected to Sjögren's syndrome from the perspective of bibliometrics for further research. METHODS: We acquired 3753 publications from the PubMed database and 3880 catalogs from the Web of Science Core Collection, with a time limit of 2010 to 2021 and the search term as "Sjögren's syndrome." Using the VOSviewer and bibliographic item co-occurrence matrix generator, we conducted cocited analysis, extracted major MeSH terms, generated matrices and performed biclustering analysis, visual matrix, drawn strategy diagram, and social network analysis. RESULTS: Through the clustering of the major MeSH terms, a total of five categories and 10 research topics were identified. Cocitation analysis suggests that diagnosis and clinical manifestations have been the main basis over the past 12 years and also are the mature content in the first quadrant of the strategy map. Ultrasonography, immunosuppressive agents and therapy, mechanism and therapeutic targets, and diagnostic autoantibodies are examples of the third quadrant, which wields great potential to progress. Genetic predisposition and psychology, in the fourth quadrant, need to be developed additionally. The subject keywords near the network's edge, such as "Salivary Glands, Minor/pathology," "Immunosuppressive Agents/therapeutic use," and "Autoantibodies/blood," are all growing research hotspots with much space, according to social network analysis. CONCLUSION: Through bibliometric analysis of the literature related to Sjögren's syndrome in the past 12 years, we obtained the knowledge basis, undeveloped topics, and emerging hotspots, which can suggest recommendations for future research. Key Points • We disclosed the topic trends and knowledge structure of Sjögren's syndrome literature over the past 12 years. • Clinical manifestations and diagnosis of Sjögren syndrome are included in mature and comprehensive studies, whereas ultrasonography, immunosuppressants and treatments, mechanisms and therapeutic targets, and diagnostic autoantibodies are studies with high potential for advancement. Additional research in genetics and psychology is needed. • We identified potential future research hotspots, including "Salivary Glands, Minor/pathology," "Immunosuppressive Agents/therapeutic use," and "Autoantibodies/blood."

Current and Future Perspectives on the COVID-19 Vaccine: A Scientometric Review.

This study attempted to draw the present and future perspective of the COVID-19 vaccine by identifying the most important scientists and their scientific contexts, trends of research topics, and relationships between different entities. METHODS: To achieve this purpose, bibliometric and scientometric techniques were used to analyze 6288 scientific documents contributing to COVID-19 vaccines from the beginning of 2019 to 13 December 2021, indexed in the Web of Science. RESULTS: The United States (US) had the greatest impact by publishing 2104 documents and receiving 32,958 citations. The US and the UK countries had the highest level of scientific collaborations with 192 collaborative studies. The University of Oxford and the Harvard Medical School were the most active institutions, and the University of Oxford and Emory University were the most influential institutions. Pollard AJ and Lambe T had the most publications and the highest citations and h-index. T Lambe, SC Gilbert, M Voysey, and AJ Pollard from the University of Oxford had the highest number of co-authorships. More than 19% of the research was conducted in the field of immunology. The Vaccines journal had the most publications, with 425 articles. The US Department of Health & Human Services granted the most research. In 2019, studies were focused on the topics of COVID-19 virus identification and ways to deal with it; in 2020, studies focused on the topics of COVID-19 and vaccines, whereas in 2021, they focused on the topics of COVID-19 vaccines and their effects, vaccines hesitancy, the role of healthcare workers in COVID-19, as well as discussions about these vaccines in the social media. CONCLUSIONS: Recognition of the most important actors (countries, institutes, researchers, and channels for the release of COVID-19 vaccine studies), research trends, and fields of study on the COVID-19 vaccine can be useful for researchers, countries, and policy makers in the field of science and health to make decisions and better understand these vaccines.

The landscape of eating disorders research: A 40-year bibliometric analysis.

OBJECTIVE: Employing bibliometric methods, the present study aimed to map out the general landscape of existing research on eating disorders (EDs) over the past decades. METHOD: Using the Web of Science database, we retrieved 41,917 research articles related to EDs published from 1981 to 2020. After removing those without an abstract, a total of 37,446 articles were retained. The study outlined the distribution of scholarship by time, languages, regions, and countries, and identified major research lines by applying latent topic modelling. RESULTS: Results revealed a general increasing trend in the number of publications on EDs research, and researchers from Western countries dominated the production of related scholarship. The distribution of published scholarship varied significantly by languages, regions, and countries. Seven main research topics emerged from past research (i.e., animal studies of food intake, risk factors and at-risk groups for eating disorders, body image in eating disorders, studies of cognition and brain in eating disorders, symptomatology and comorbidity of eating disorders, body weight and nutrition status in eating disorders, and treatment of eating disorders), with different topics showing unique research trends across the years. CONCLUSIONS: This bibliometric analysis presents the most complete up-to-date overview on published research on EDs. While there is an increasing trend for EDs research, the available research evidence is generally from Western countries; thus, it is suggested that cooperation on EDs research should be strengthened between Western countries and other countries in the future.