Scientometric Analysis Research Articles

Scientometric analysis of 100-most-cited papers on AI in dentistry

Scientometric analysis of 100-most-cited papers on AI in dentistry

Research trends and hot topics of wearable sensors in wound care over past 18 years: A bibliometric analysis

ObjectiveThis study determined the development trends, analyzed collaboration networks, and identified research hotspots in the field of wearable sensors for wound care from 2007 to 2024 using a rigorous bibliometric analysis approach. MethodsBibliometric and scientometric analyses were performed utilizing data sourced from the Web of Science Core Collection database. This study examined publication trends, contributions from various countries and institutions, author productivity, keyword prevalence, and citation patterns to discern research hotspots and potential future avenues in the application of wearable sensors for wound care. ResultsThis study included 1177 articles, which demonstrated a marked increase in publications since 2016 and underscores the burgeoning interest in wearable sensors for wound care. China and the United States have emerged as prominent contributors to the research field, exhibiting numerous international collaborations. An analysis of keywords and citation bursts highlighted wound healing, hydrogels, and sensors as the key research foci with recent trends shifting towards the integration of wearable technology with advanced materials and artificial intelligence for advanced wound management. The research landscape is characterized by a diverse network of international collaborations and an emphasis on interdisciplinary approaches that integrate materials science, sensor technology, and clinical applications. ConclusionThe utilization of wearable sensors in wound care constitutes a rapidly progressing area of research, garnering significant interest and promising avenues for future advances. The integration of wearable sensors with advanced materials and AI technologies presents a frontier of opportunity for innovating wound care methodologies, enhancing patient outcomes, and optimizing the allocation of healthcare resources.

Trends in the dynamics of radicalization phenomenon researches: scientometric analysis

In an attempt to explain “who, how and why comes to terrorism?”, the research hypothesis that radicalisation is a predictor of terrorism emerged at the beginning of the 21st century. From this moment, the formation of a new scientific research direction on the phenomenon of radicalisation began and dynamically developing interdisciplinary field of study in the second decade of the 2 st century. The article presents the results of radicalisation research current state scientometric analysis the in the Russian and foreign research field, identifies trends and directions, outlines the opportunities and limitations of the development of scientific direction in Russia. The choice of the time period for the analysis (2014-2023) is due to the fact that the second decade of radicalisation research is the most active and productive. In Russia, radicalisation studies appeared only in this period. Based on the results of quantitative and qualitative analysis of Russian and foreign publications, the specific characteristics of the research current state are outlined. The key conclusion is that in the study of radicalisation, Russian researchers lag behind by at least a decade, the reasons for the lag and opportunities for the development of scientific direction in Russia are outlined.

Exploring the Landscape of Polymerase Chain Reaction in Indian Medical Research: A Scientometric Analysis

Background and Aims: The polymerase chain reaction (PCR) has revolutionised medical research in India by offering a rapid and precise method for amplifying deoxyribonucleic acid (DNA) sequences crucial for various applications in healthcare. It aims to investigate publication growth, leading authors, productive journals, collaborating countries, keywords, institutional affiliations and funding agencies involved in PCR-related research within India. Methodology: A scientometric analysis assessed India’s PCR research performance using 10,509 articles from Scopus (2013-2022). Biblioshiny and VOSviewer aided data analysis, while Microsoft Excel facilitated computations. Results: The finding reveals the continuous growth in PCR publications, with significant contributions from researchers like Aman Sharma from the Post Graduate Institute of Medical Education and Research (Chandigarh) and journals like the Indian Journal of Medical Microbiology. Notable contributors hail from the All India Institute of Medical Sciences (AIIMS), New Delhi. International collaborations, especially with the United States, underscore the global outreach of PCR research in India. Keyword analysis reveals emerging trends and research themes in PCR, reflecting its evolving role in addressing contemporary health challenges. Funding agencies such as the Indian Council of Medical Research and the Ministry of Science and Technology, India (DBT) are crucial in supporting PCR research endeavours. Conclusions: This study provides valuable insights into the dynamics of PCR research in India, highlighting areas for future investigation and collaboration to further advance medical research and healthcare outcomes.

Knowledge-map and research trends of circulating tumor cells in breast cancer: a scientometric analysis

Assessing circulating tumor cells (CTCs) in early-stage breast cancer patients can help identify relapse risk for timely interventions. Molecular analysis of CTCs can reveal vulnerabilities for personalized treatment options in metastatic breast cancer. This study aims to summarize CTCs in breast cancer research understanding and evaluate research trends. Extracted from the Web of Science Core Collection, publications on CTCs in breast cancer studies spanning from January 1, 2008, to December 21, 2023, were included. Co-authorships, references, and keywords were analyzed using Bibliometrix R packages and VOSviewer software. References and keywords burst detection were conducted with CiteSpace, and BICOMB was utilized to generate high-frequency keyword layouts. Biclustering analysis of the binary co-keyword matrix was performed using gCLUTO. 1747 articles focusing on CTCs in breast cancer were identified. The USA and the University of Texas MD Anderson Cancer Center demonstrated the highest productivity at the national and institutional levels, respectively. The journal “CANCERS” had the highest publication outputs on this subject. Pantel K emerged as the foremost author with the highest publication and co-citation counts. Analysis of co-keywords unveiled five prominent research areas concerning CTCs in breast cancer. The prognostic and predictive roles of CTCs in breast cancer have substantial implications for clinical practice. Nevertheless, precise assessment of CTCs, encompassing its quantities and attributes through advanced technologies, and its role in detecting minimal residual disease in breast cancer, continue to pose notable challenges. In conclusion, recent advancements and trends in CTCs research in breast cancer are examined through scientometric analysis in this study. The results provide valuable insights for the formulation of novel approaches in CTCs research, emphasizing the current research frontiers.

Artificial neural networks in economics: mathematical tool, model or methodology?

The purpose of this article is to assess the current interaction between artificial intelligence (AI) and economic science and to identify promising interdisciplinary areas of research that can significantly influence the methodology of understanding economic phenomena. To achieve this goal, the vague and partly even mystical term AI was replaced with а more scientific term «artificial neural networks» (ANN). The article uses methods of scientometric, epistemological and comparative analysis of the processes of ANN penetration into economics and other academic disciplines. The authors reveal the epistemological commonality and difference between AI and ANN and justify the shift in epistemological focus in research from general AI to ANN. The paper systematizes the use of ANN in economics: 1) ANN as a mathematical tool for solving economic problems; 2) ANN as a model of economic phenomena; 3) ANN as a methodology for understanding economic patterns. It shows the interaction of economics with neurosciences which occurs in two significantly different directions: from neurobiology, i.e. real nerve networks in living organisms, and, on the other hand, from ANN theory. The first direction is associated with neuroeconomics, the second has not yet been articulated, but shows an exponential growth in publications and is associated primarily with forming a new economic paradigm. The ANN paradigm in economics (and not only in economics) changes both the subject of cognition, introducing radically new forms/types of evidence and new research methods, and the object of cognition, changing the focus of study from individual economic behavior to the collective economic behavior of mega-subjects.

Advancing timber construction: historical growth, research frontiers, and time series forecasting

ABSTRACT Lauded for its capacity to curtail building energy consumption and enhance environmental performance compared to traditional mineral-based materials, wood has gained substantial traction in the construction sector. Timber construction, which is a focal point of growing interest in both industry and academia, warrants a reassessment of its historical trajectory and future prospects. This study examines publications on timber construction from 1990 to 2022 to analyze the growth path, shifting hotspots, and potential research directions in this field. By employing scientometric analysis, influential journals, articles, countries, and keywords are identified. Integration into a logistic growth model (LGM) showcases publication trends, while the Prophet model forecasts global growth. Research frontiers and emerging themes are revealed through keyword bursts surge evolution. This study offers a visualized knowledge framework, bridging current research with future trends and enabling practitioners and researchers to comprehensively grasp the evolution of timber construction.

Mapping the evolution and research landscape of ferroptosis-targeted nanomedicine: insights from a scientometric analysis.

Notable progress has been made in "ferroptosis-based nano drug delivery systems (NDDSs)" over the past 11years. Despite the ongoing absence of a comprehensive scientometric overview and up-to-date scientific mapping research, especially regarding the evolution, critical research pathways, current research landscape, central investigative themes, and future directions. Data ranging from 1 January 2012, to 30 November 2023, were obtained from the Web of Science database. A variety of advanced analytical tools were employed for detailed scientometric and visual analyses. The results show that China significantly led the field, contributing 82.09% of the total publications, thereby largely shaping the research domain. Chen Yu emerged as the most productive author in this field. Notably, the journal ACS Nano had the greatest number of relevant publications. The study identified liver neoplasms, pancreatic neoplasms, gliomas, neoplasm metastases, and melanomas as the top five crucial disorders in this research area. This research provides a comprehensive scientometric assessment, enhancing our understanding of NDDSs focused on ferroptosis. Consequently, it enables rapid access to essential information and facilitates the extraction of novel ideas in the field of ferroptotic nanomedicine for both experienced and emerging researchers.

Global trends and topics in CDK7 inhibitor research: a bibliometric analysis.

CDK7 has been demonstrated to play a crucial role in the initiation and progression of malignancy. Therefore, targeting CDK7, which regulates the transcription process, has emerged as a new promising approach for treating cancer. Research on CDK7 inhibitors has significantly increased over the past 2decades, with almost 600 related papers in the Web of Science Core Collection database. To effectively identify future research hotspots and potential future directions, it is crucial to systematically review and visually present the research on this topic from a comprehensive viewpoint, ensuring scientific reliability. This study performed bibliometric analysis via CiteSpace and VOSviewer scientometrics analysis software to examine data on the publication of articles on CDK7 inhibitors over the past 2decades; the data included country of publication, author names, institution names, scientific categories, cited journals, and keywords related to the field of CDK7 inhibitors. This bibliometric analysis included 426 publications from 41 different nations, referencing a total of 15,892 sources. Research associated with CDK7 inhibitors has rapidly expanded since 2016, and the US and China are the two countries with the highest publication output among the countries and institutes that produce literature on CDK7 inhibitors. Furthermore, the US is the country that most frequently engages in international cooperation. The evolution of keywords identifying antitumor strategies related to CDK7-mediated cellular transcription processes has been the research focus in recent years. In this study, we identified research efforts and their evolving patterns and predicted advances in the CDK7 inhibitor field. The knowledge structure of CDK7 inhibitors encompasses pharmacological mechanisms, therapeutic targets, and cancer treatment strategies. The primary objectives of contemporary research are to discover the processes underlying cancer progression, identify specific signaling pathways, and develop effective clinical medicines.

Construction Sector Transition towards Smart Applications of Graphene Oxide in Cement-Based Composites: A Scientometric Review and Bibliometric Analysis

Cement-based composites (CBCs) are essential in the construction sector due to their cost-effectiveness, availability, and versatility, but they struggle with low tensile strength and poor heat resistance. Recent advancements have highlighted the potential of nanomaterials, particularly graphene oxide (GO), in enhancing the mechanical, thermal, and electrical properties of CBCs. This study aims to provide a comprehensive review of the incorporation of GO into cementitious composites, examining its impact on microstructure, mechanical properties, rheology, and durability; thus, a bibliometric review and scientometric analysis were conducted to thoroughly evaluate the existing literature. A total of 263 studies were selected for thorough study. It can be concluded that GO content acts as a pore filler, decreasing porosity by 23% and average pore size by 22%, while boosting compressive strength by up to 15% at a 0.05% concentration. It also enhances workability, stability, and resistance to chloride ingress, sulfate attack, alkali–silica reaction, and carbonation. Incorporating GO reduces cement consumption and carbon footprint, leading to more durable structures and supporting sustainable construction by efficiently utilizing waste materials. The optimal GO concentration for these benefits ranges from 0.03% to 0.1% by weight of cement, as higher concentrations may cause agglomeration. GO-modified cementitious materials are well suited for high-performance and durable applications, particularly in environments with chemical and mechanical stresses.

Modern Approaches to Integrated Assessment of Public Health in Russian Federation and the Republic of Kazakhstan

Public health management plays an important role in Russian healthcare system. However, the task is impossible without an integrated assessment. In order to understand modern approaches to integral assessment of public health as well as to develop effective methods for its determination, it is necessary to systematize the existing research data. Countries of vast geographical extent, such as Kazakhstan, are of particular interest, as their regional peculiarities do not allow to elaborate a unified approach aimed at improving public health. The purpose was to analyze the scientific research findings on integrated assessment of public health in the Russian Federation and the Republic of Kazakhstan. Material and methods. A keyword search of scientific data available in eLibrary.RU, PubMed, Google Scholar scientometric databases, subsequent study and analysis were carried out. As a result, 35 articles were included in the review for further analysis. Results. In the scientific literature, there is ambiguity in the choice of criteria for an integrated assessment of public health. The use of different approaches and public health indicators reveals the complexity and multilevel nature of the phenomenon. The revealed weight contributions of various public health indicators, as well as the change in their role in different regions, age groups and other cohort groups indicate the need to adapt unified and standardized approaches using correction factors taking into account the above factors. The existing scientific groundwork on integrated assessment of public health in Russian Federation and the Republic of Kazakhstan allows us to predict an upcoming appearance of scientific research that will contain the results of the most accurate and adequate integrated assessment of public health. Conclusion. A comprehensive assessment of public health is a complex multi-level system that should be measured by integral indicators. In this regard, in order to improve these indicators, it is necessary to clarify the criteria characterizing the high indicative value and coverage of various aspects that determine the level of public health.

Collaborations in publications on pediatric anesthesiology in the D-A-CH countries

Collaborations are an essential element of scientific activity and particularly important in fields such as pediatric anesthesiology, where the evidence base in general is relatively limited. Arecent scientometric analysis revealed ageographic diversification of publication activity in pediatric anesthesiology within the last two decades, accompanied by asurge in international collaborations. Given the hypothesis of asimilar growth in the activity and dynamics of publications in pediatric anesthesiology, the objective of this scientometric study was to analyze the publication activity and collaboration habits in research in pediatric anesthesiology from Germany, Austria and Switzerland (D-A-CH). This secondary analysis identified all publications on pediatric anesthesiology with an affiliation from the D‑A-CH countries between 2001 and 2020 from PubMed and Web of Science. The query parameters included the timeframe 2001-2020, authors' affiliations tied to anesthesiology departments (using various forms of the term "anesthesia"), and the mention of pediatric interest in titles or abstracts. The data underwent standardization to account for linguistic variations. The publications were assigned to astate, city and institution based on the correspondence address, to ayear based on the publication date and to asource based on the journal. The primary endpoint was publication activity and dynamics, represented by the number of publications and the respective growth rates (calculated as the linear regression slope). Secondary endpoints included the share of collaborations within and outside the D‑A-CH region (at the country and institutional level), the distribution of publication activity and the most prominent sources of publications. Between 2001 and 2020 atotal of 3406 publications on pediatric anesthesiology involving authors from the D‑A-CH countries were identified. Of these 2807 (82.4%) had acorrespondence address in D‑A-CH. The average annual growth rate of publications with acorrespondence address was + 2.9% for the D‑A-CH countries and + 7.7% for publications with collaborations. The number of publications in which an institution from D‑A-CH was named as acoauthor from acorrespondence address outside D‑A-CH also increased by an average of 7.4% per year during the study period. The majority of collaborations occurred between institutions within the D‑A-CH region, although Swiss institutions exhibited amuch higher proportion of collaborations outside the region. Of all publications with acorrespondence address 90% originated from 46cities. The most prominent source was Die Anästhesiologie for publications from Germany, and Pediatric Anesthesia for publications from Austria and Switzerland. The number of publications in pediatric anesthesiology from the D‑A-CH countries has increased over the past two decades, accompanied by asurge in collaborations. It is hoped that increased collaboration will contribute to ahigher level of evidence in pediatric anesthesiology care.

Evolving Trends in Smart Building Research: A Scientometric Analysis

Background: Smart building, as an emerging building concept, has been a key driving force for the transformation and upgrading of the building industry; Methods: To better understand the latest research progress and trends in the field of smart building, this study uses CiteSpace 6.2.R4 bibliometric software to visualize, analyze, and interpret the literature related to the field of “Smart Building” in the WoS database from 2014 to 2023; Results: As a cross-sectoral and multidisciplinary field, smart building has received significant attention in recent years, with a rapid growth in the number of publications. International cooperation is strong, with China, the United States, and South Korea leading in the number of publications, but there is still room for enhanced collaboration among institutions. Keyword analysis shows that technology and humanized design are both crucial, and emerging technology has become the current research hotspot. Conclusions: The field of smart building has gained global attention, and more breakthroughs will be made in improving building efficiency, reducing energy consumption, and enhancing the user experience. This development is moving towards a smarter and more sustainable direction that will bring greater benefits to human life and the environment.

Developing a Conceptual Model for Promoting Risk Management for Public–Private Partnerships Projects

Over the past decade, there has been significant growth in the literature addressing risk issues associated with Public–Private Partnerships (PPPs). However, few studies have attempted to comprehensively map and visualize research in this domain. This study aims to fill this gap through a systematic literature review conducted in four stages, utilizing knowledge mapping analysis. More than 400 peer-reviewed articles published between 1990 and September 2023 were examined, making this study the first to analyze such a substantial sample of papers in this field. The research identifies three distinct phases of growth trends in PPP risk management studies. To minimize arbitrariness and subjectivity in analyzing research focuses, this study employed a scientometric approach using VOSviewer software (version 1.6.19), which provides insights into the current state and trends of research on PPP risk management, including high-frequency keywords, contributions of core authors, and distribution across countries, regions, institutions, and journals. In addition to the scientometric analysis, a qualitative review identified six primary research interests, various research perspectives, and diverse methodologies present within the literature. Based on these findings, this study culminates in the development of a conceptual model for risk management in PPPs, offering a structured framework for future research and practical application. This study contributes to the literature by providing the first large-scale, comprehensive mapping and analysis of PPP risk management research, presenting a novel conceptual model that connects theoretical insights with practical implications, and highlighting key areas for future exploration.

Mahseer conservation in Asia: trends and insights from scientometric analysis

Context Mahseer fish, listed as Data Deficient with a decreasing population trend in The IUCN Red List of Threatened Species 2018, is regarded as a valuable organism. Aims This study aims to evaluate the current state of mahseer research in Asia through scientometric analysis. Methods We utilised the Web of Science (WOS) database, initiated in 1970, which began collecting scientific articles on mahseer research in Asia in 1978. Key results Analysis of data from 1976 to 2024 showed a progressive trend in scientific publications on mahseer, with a notable increase in the number of papers published. Notably, from one publication in 1978, the number rose to 22 papers in 2021, constituting 10.63% of total scientific publications in this domain. The analysis identified 559 authors from 200 affiliations actively participating in mahseer research in Asia, accumulating 3661 citations. Cluster analysis showed eight co-citation clusters of research. Conclusions Mahseer research in Asia shows significant potential to emerge as an important field of study in future scientific-research endeavours. Implications Understanding the current state and trends of mahseer research is crucial for conservation efforts and sustainable management of this species in Asia.

An Analysis of Research Trends for Using Artificial Intelligence in Cultural Heritage

Artificial intelligence (AI) techniques have been increasingly applied in assisting various cultural heritage (CH)-related tasks. The aim of this study is to examine the research trends and current applications of AI in this vast domain. After obtaining a dataset from the Web of Science and Scopus databases, a scientometric analysis of research publications from 2019 to 2023 related to the use of AI in CH was conducted. The trending topics based on the author’s keywords were identified by using the ScientoPy v2.1.3 software. Through this approach, five main topics were identified: classification, computer vision, 3D reconstruction, recommender systems, and intangible cultural heritage. The analysis highlights the upward trend in publications in this field since 2019, indicating a growing interest in the application of AI techniques in CH. By analyzing the latest research in the field, it is observed that AI techniques are mostly applied to assist CH in the discovery, description, classification, and preservation tasks. The report gives insights into the main research areas and developing trends in the field of artificial intelligence and machine learning. The study offers important information about the key research areas and emerging trends related to using AI techniques in the CH field. This helps to recognize the potential, development, and increasing influence of these technologies within the CH domain. The findings of this study contribute to the future development of AI applications in CH, enabling professionals to use the advantages of these technologies.

Un panorama alimenticio: Una óptica mediante un análisis cienciométrico y revisión sistemática

To understand how the challenges related to food security, sustainability and quality of life have become one of the actions of constant attention. The purpose of this study is to offer an in-depth analysis of the research lines currently being addressed in the food landscape. The method used was descriptive qualitative, based on a systematic literature review, and subsequently, a scientometric analysis using data from Scopus from 2012 to 2022, with a descriptive qualitative approach. The results demonstrate a direct relationship between the passage of years and the progressive increase in the quantity of publications. Three types of trendswere distinguished: consolidated, intermediate and emerging. Among the key words, quality, antioxidant activity, health, marketing and COVID-19 stood out. In addition, the importance and linkage of food studies with topics such as health, innovation, sustainability, industry and education were emphasized. Subsequent studies, emphasis is placed on addressing terms with greater potential combined with current circumstances, such as food sovereignty in complex contexts, food insecurity as a current issue, the role of the consumer in promoting healthy eating, or fast food and the mega ecological trend in developing countries.

Understanding the impacts of COVID-19 on bike-sharing travel behaviors: Insights from the literature and a case study in New York City, USA

The post-coronavirus era is a long-lasting challenge, but also a window of opportunities to strengthen the role of bike-sharing in molding a resilient transportation system. However, few studies have attempted to holistically review the recent literature in the last four years. This study aims to identify emerging topics regarding the impact of COVID-19 on bike-sharing by systematically critiquing research published between 2020 and 2023. The review was complemented by a case study in New York (USA) to address a research gap identified by the review. Scientometric analysis was applied to demonstrate research frontiers. We constructed and visualized network maps that depict information on the citations and terms of the documents that frequently appear in the title, keywords, and abstract of each reviewed document. Next, a clustering-based procedure was developed to infer and compare the major trip purposes in different pandemic periods for the case study. The results reveal that emerging topics include infection risks, active travel, and modal substitution that were less discussed before the pandemic. The results of the case study show that both residential and work trips had experienced significant growth before and after the outbreak, while residential trips saw a slightly higher increase in terms of the number of commuters. Additionally, residential trips can partly replace work trips in most Manhattan communities during the pandemic, implying that people may become more dependent on bike-sharing when working from home is prioritized. This research provides new perspectives on the pandemic’s impact on bike-sharing for researchers. Practitioners may use the tools to better understand how the pandemic may drive changes in travel behaviors and plan accordingly.

Scientometric, Thematic, and Methodological Analysis of IJCER Construction Education Focused Publications – 2004 - 2023

ABSTRACT Research projects must be carefully designed, executed, and disseminated to ensure validity, reliability, and generalizability. The International Journal of Construction Education and Research (IJCER) is the leader in publishing education-focused scholarship. This mixed methods case study research examined construction education-focused articles published in the IJCER between 2004 and 2023, aiming to showcase the works of the most prolific construction education research publisher and identify actionable areas of potential future research. The scientometric analysis showed largely U.S.-based authorship, with increased international authorship over time and clusters of prominent universities and academics. The thematic analysis showed a primarily qualitative methodological focus, with data provided mainly by students and industry practitioners via surveys. Topics such as BIM education have been potentially researched to the point of saturation. Future research opportunities are proposed, including expanding methodological usage and addressing less-researched topics such as artificial intelligence, underrepresented students, student attraction to construction majors, and program ranking. The findings call attention to the sustained evolution of education research and the growing recognition of IJCER. Additionally, the article details step-by-step guidance on conducting mixed-methods case study research and substantiates the need for construction education-specific research guidelines.

A Scientometric Analysis of Mechanical Cardiopulmonary Resuscitiation Device Publications

Aim: Today, the use of automatic chest compression devices is increasing. The aim of this study is to identify popular publications about chest compression devices, save time for researchers, and summarize the important points of chest compression devices using the scientometric analysis method. Material and Methods: All data were collected using the Web of Science Core Collection between July 1-8, 2023. Articles related to the topic were selected using the keywords "automated chest compression device" or "mechanical chest compression device". All articles in the database were manually scanned and analyzed. The distribution of relevant articles in the database was analysed according to scientific journals. Global research productivity, international collaborations, and research themes were analyzed using the scientometric method. Results: A total of 589 articles were identified in the WoS. Out of these, 439 (74.407%) were original articles, followed by 63 (10.678%) review articles and 30 (5.085%) editorial materials. When examining the distribution of research articles by country, the United States (US) topped the list with 171 articles, followed by Germany (n=77). Although the UK ranked third in terms of the number of publications with 53 articles, it ranked first in terms of the number of citations. (n=3465). An assessment of the top 20 publishing journals revealed that the Resuscitation Journal led in terms of publication count (n=133), citation count (n=5906), and average citations per publication (n=44.41). Conclusion: Our bibliometric study analyzed 589 articles on mechanical cardiopulmonary resuscitation. This can help researchers identify trending topics and areas of interest more quickly. More research is needed to fully understand the effectiveness and best tools for saving lives in emergency situations.