Quantitative Analysis Of Literature Research Articles

Drought and heat stress studies in perennial ryegrass: a bibliometric analysis 1994–2024

Perennial ryegrass (Lolium perenne L.) is a key forage species in warm temperate to subtropical regions worldwide. Climate change poses significant challenges to agriculture, particularly through drought and heat stress, which adversely affect ryegrass yield and may be further exacerbated by global warming. Despite numerous research achievements in recent years, a comprehensive bibliometric analysis of the literature on drought and heat stress in perennial ryegrass is lacking. This study provides a quantitative analysis of relevant literature published from 1994 to 2024, utilizing the Web of Science database to evaluate global research trends and priorities. The results indicate a consistent annual growth in publication output, with China and the United States being major contributors, and the journal Crop Science publishing the most papers. Keyword analysis shows that “growth,” “endophytic fungi,” and “yield” are most frequently used in drought stress research, while “growth,” “gene,” and “leaf” are common in heat stress research. Over the past 30 years, research has mainly focused on phenotype, response mechanisms, and drought and heat resistance techniques in perennial ryegrass. Endophyte have become a hot topic in drought stress research in recent years and have also gained attention in heat stress research, suggesting future research directions in this area. Furthermore, there is a need to strengthen research on the molecular mechanisms associated with drought stress in ryegrass, as well as to explore molecular responses to heat stress. The research trend shows increasing attention to the interaction between drought and heat stress, indicating it will become an important direction for future studies. The findings of this study offer valuable insights for guiding future research on perennial ryegrass under drought and heat stress conditions and provide useful information for researchers in related fields.

A bibliometric study toward quantitative research assessment of security of machine learning

Purpose Advances in machine learning (ML) have made significant contributions to the development of intelligent and autonomous systems leading to concerns about resilience of such systems against cyberattacks. This paper aims to report findings from a quantitative analysis of literature within ML security to assess current research trends in ML security. Design/methodology/approach The study focuses on statistical analysis of literature published between 2000 and 2023, providing quantitative research contributions targeting authors, countries and interdisciplinary studies of organizations. This paper reports existing surveys and a comparison of publications of attacks on ML and its in-demand security. Furthermore, an in-depth study of keywords, citations and collaboration is presented to facilitate deeper analysis of this literature. Findings Trends identified between 2021 and 2022 highlight an increase in focus on adversarial ML – 40\% more publications compared to 2020–2022 with more than 90\% publications in journals. This paper has also identified trends with respect to citations, keywords analysis, annual publications, co-author citations and geographical collaboration highlighting China and the USA as the countries with highest publications count and Biggio B. as the researcher with collaborative strength of 143 co-authors which highlight significant pollination of ideas and knowledge. Keyword analysis highlighted deep learning and computer vision as the most common domains for adversarial attacks due to the potential to perturb images whilst being challenging to identify issues in deep learning because of complex architecture. Originality/value The study presented in this paper identifies research trends, author contributions and open research challenges that can facilitate further research in this domain.

Analysis of Channel Promotion of New Oriental Online Education in the Internet Era

With the rapid development of information technology and the popularization of the Internet, the field of education is experiencing unprecedented changes. Online education, as an important product of this change, has quickly become the new darling of the global education market with its characteristics of flexibility, convenience and personalized teaching. This paper takes New Oriental as a case study on the channel promotion strategy of online education industry. First of all, explain the channel marketing environment theories, including PEST theory, Marketing related theories, including the Omnichannel theory in the Internet era, and explain their characteristics and importance, and understand the marketing channel status of New Oriental online education based on the analysis of 4P marketing theory and the combination of questionnaire and interview conclusions as primary data and secondary data. Second, this study combines qualitative analysis with quantitative analysis. Quantitative analysis, interview records and literature analysis were carried out through the chart data collected by the questionnaire, and qualitative analysis was adopted in the data provided by the official website of New Oriental. The existing problems in channel promotion of New Oriental online education can be find and this research will try to sort out a reasonable solution.

Knowledge structure and research hotspots on digital scanning for implant-supported complete-arch prosthesis: A bibliometric analysis

BackgroundDigital scanning is increasingly widely used for implant-supported complete-arch prosthese. However, a quantitative literature analysis is lacking for this field. This study aims to conduct a bibliometric analysis to summarize the knowledge structure and research hotspots of digital scanning for implant-supported complete-arch prosthesis. Materials and methodsRelevant articles and reviews, published between 1994 and 2023, were obtained from the Web of Science Core Collection (WoSCC). Indicators such as publication count, annual growth, citation count, co-citation count, impact factor, Journal citation reports (JCR) division, H-index are used to assess the contribution of countries, journals, authors or the quality of articles. Visual maps, cluster analysis and keyword cloud are used to evaluate the cooperation pattern and topic trends. Results580 eligible publications, including 555 articles and 25 reviews, were analyzed. The United States is the leading country in this area, received the most citations. The Journal of Prosthetic Dentistry is the scientific journal with the highest impact. The analysis of keywords and ongoing trials shows that the accuracy of relevant techniques is a current hot topic in this field. ConclusionIn recent years, digital scanning technique for implant-supported complete-arch prosthesis has made rapid progress. By reviewing the published literature, we found the United States is the global leader in the field of digital scanning for complete-arch implant prosthesis. Accuracy is the core word in this field, more scientific evidence is needed to support the clinical application of digital scanning in this field.

Big data, machine learning and uncertainty in foresight studies

PurposeCurrently, foresight studies have been adapted to incorporate new techniques based on big data and machine learning (BDML), which has led to new approaches and conceptual changes regarding uncertainty and how to prospect future. The purpose of this study is to explore the effects of BDML on foresight practice and on conceptual changes in uncertainty.Design/methodology/approachThe methodology is twofold: a bibliometric analysis of BDML-supported foresight studies collected from Scopus up to 2021 and a survey analysis with 479 foresight experts to gather opinions and expectations from academics and practitioners related to BDML in foresight studies. These approaches provide a comprehensive understanding of the current landscape and future paths of BDML-supported foresight research, using quantitative analysis of literature and qualitative input from experts in the field, and discuss potential theoretical changes related to uncertainty.FindingsIt is still incipient but increasing the number of prospective studies that use BDML techniques, which are often integrated into traditional foresight methodologies. Although it is expected that BDML will boost data analysis, there are concerns regarding possible biased results. Data literacy will be required from the foresight team to leverage the potential and mitigate risks. The article also discusses the extent to which BDML is expected to affect uncertainty, both theoretically and in foresight practice.Originality/valueThis study contributes to the conceptual debate on decision-making under uncertainty and raises public understanding on the opportunities and challenges of using BDML for foresight and decision-making.

Knowledge mapping and research trends of exosomes in pancreatic cancer: a bibliometric analysis and review (2013-2023).

This review aims to provide a quantitative and qualitative bibliometric analysis of literature from 2013 to 2023 on the role of exosomes in PC, with the goal of identifying current trends and predicting future hotspots. We retrieved relevant publications concerning exosomes in PC, published between 2013 and 2023, from the Web of Science Core Collection. Bibliometric analyses were conducted using VOSviewer(1.6.19), CiteSpace(6.2.R4), and Microsoft Excel (2019). A total of 624 papers were analyzed, authored by 4017 researchers from 55 countries/regions and 855 institutions, published in 258 academic journals. China (n=285, 34.42%) and the United States (n=183, 24.87%) were the most frequent contributors and collaborated closely. However, publications from China had a relatively low average number of citations (41.45 times per paper). The output of Shanghai Jiao Tong University ranked first, with 28 papers (accounting for 4.5% of the total publications). Cancers (n=31, 4.9%); published the most papers in this field. Researcher Margot Zoeller published the most papers (n=12) on this topic. Research hotspots mainly focused on the mechanisms of exosomes in PC onset and progression, the role of exosomes in PC early diagnosis and prognosis, exosomes promote the development of PC chemoresistance, and potential applications of exosomes as drug carriers for PC therapies. We observed a shift in research trends, from mechanistic studies toward clinical trials, suggesting that clinical applications will be the focus of future attention. Emerging topics were pancreatic stellate cells, diagnostic biomarkers, mesenchymal stem cells, extracellular vesicles. Our scientometric and visual analysis provides a comprehensive overview of the literature on the role of exosomes in PC published during 2013-2023. This review identifies the frontiers and future directions in this area over the past decade, and is expected to provide a useful reference for researchers in this field.

Anatomy of the top 1% most highly cited publications: An empirical comparison of two approaches

Abstract Scientific excellence is an ongoing object of quantitative analysis of science and technology literature. The most commonly adopted of the various criteria for such quantification is to define highly cited papers as the ones lying in the first percentile (top 1%) of citation counts. Wagner and colleagues have recently proposed a new method in which citation counts are determined as a whole, irrespective of discipline. This study analyzes the practical implications of the new approach compared to the traditional procedure in which papers are ranked bearing in mind the scientific field involved, with particular attention to the consequences for rankings by country and discipline. The results show that the new methodology favors countries with a predominance of polytechnical scientific production, technological development, and innovation and lowers the rank of countries where the social sciences, humanities, and basic research account for the lion’s share of output. An analysis of worldwide production confirms the growth of scientific output in technical and technological disciplines.

VISUALIZATION ANALYSIS OF CLIMATE SMART AGRICULTURE RESEARCH IN ASIA BASED ON WOS AND CITESPACE

Purpose: This study conducts a quantitative analysis of relevant research literature in the field of Climate Smart Agriculture in Asian countries and regions included in the "Web of Science Core Collection" to clarify the current development status of Climate Smart Agriculture in Asia. Methodology: Based on bibliometric methods, this article searched the relevant research 617 literature in the field of Climate Smart Agriculture in Asian countries and regions included in WoS from 2014 to 2023. Analyzed from the perspectives of annual publication volume, publishing institution, author, country, keyword. Findings: The number of published papers from 2014 to 2023 showed an overall upward trend, and the largest number of papers was published in 2022, with 166 papers. India, China, and Pakistan rank within the top 3 countries in Asia based on the volume of publications they have produced. The most published author is Jat, ML (17 articles). The keywords with the highest frequency are Climate Change, Climate Smart Agriculture, Impacts, Management, Food Security, etc. Most of the literatures research hotspots in the field of Climate Smart Agriculture in Asia focus on climate change, food security, and agricultural management and attach importance to the study of agriculture's adaptability to climate change. Value: This paper provides a comprehensive analysis of the WoS Core Collection of literature, which can point out the direction for researchers in the area of Climate Smart Agriculture to engage in related research, provide data reference and help predict the future development trend of the industry.

Anthocyanins - dietary natural products with a variety of bioactivities for the promotion of human and animal health

Abstract Anthocyanins are water-soluble pigments contained in numerous food plants. This study provides an overall quantitative literature analysis on anthocyanins. Bibliometric data were collected through the search string TOPIC = anthocyan*, which yielded 44,121 publications indexed within the Web of Science Core Collection. Term maps were generated using VOSviewer software to visualize frequently mentioned terms alongside their citation data. The literature has been growing fast since the 2000s and predominantly consists of original articles, with a ratio of 13.8:1 compared to reviews. The most productive author was Professor Victor de Freitas from the University of Porto, whereas the most productive countries were China and the United States. Many publications were published in food science & technology and plant sciences journals. Frequently mentioned chemicals/chemical classes included anthocyanin, flavonoid, cyanidin, phenolic compound, and polyphenol. Recurring food items of the anthocyanin papers were grapes, many berries, and specific varieties of rice, maize, potato, and tomato.

Analysis of Blockchain Technology in Patient Data Management System : Security, Privacy, and Efficiency in the Digital Healthcare Context

In the rapidly evolving landscape of digital healthcare, ensuring secure, confidential, and efficient patient data management has become paramount. Blockchain technology has emerged as a promising solution to address these challenges. This study aims to analyze the implementation of blockchain technology within patient data management systems, with a specific focus on security, privacy, and efficiency in the context of digital healthcare. Within this framework, a notable gap arises between technological innovation trends and their practical application within the healthcare sector. This research expands our understanding of how blockchain can be effectively harnessed to tackle security and patient data privacy challenges within the increasingly interconnected digital healthcare environment. Employing a comprehensive methodology that encompasses qualitative and quantitative approaches, including surveys, literature analysis, and case studies, this study delves into how blockchain technology can provide an added layer of security to patient data, enhance privacy through improved access control, and streamline the sharing of health information. The novelty of this research lies in its holistic approach to identifying gaps in blockchain technology application methods within patient data management, while also addressing practical challenges inherent to the digital healthcare context. The anticipated outcomes of this analysis will provide valuable insights for decision-makers aiming to implement blockchain technology to fortify data security, safeguard privacy, and enhance efficiency within patient data management systems. In conclusion, this research contributes to a nuanced comprehension of the potential of blockchain technology to augment security, privacy, and efficiency in patient data management. By shedding light on innovative methods like blockchain integration, this study offers valuable guidance for effectively navigating the dynamic landscape of digital healthcare.

Evol project: a comprehensive online platform for quantitative analysis of ancient literature

Quantitative cultural studies have witnessed a surge with the rapid development of computer technology in recent years. Since ancient literature constitutes a long-time-span repository for human culture, with quantitative methods and ancient texts, scholars can study the genesis and progression of human history and society across historical epochs from digital perspectives. Nevertheless, traditional humanities scholars often lack the requisite technical skills, creating a demand for interactive platforms. This paper introduces the Evol platform—an online tool designed for the quantitative analysis of ancient literature. Equipped with various analysis functions and visualization tools, the Evol platform allows users to quantify literary documents through intuitive online interaction. Using this platform, we investigated three cases of cultural evolution in ancient Chinese history: (1) the changing attitude of the government towards nomadic ethnic groups; (2) the formulation and propagation of an allusion phrase related to the Battle of Muye; (3) the influence of the Book of Changes across diverse cultural domains. By showcasing cases across diverse semantic units and topics, Evol demonstrates its potential in providing efficient and low-cost experimental tools catering to the realms of culturomics, history, and philology.

Reactivity of Calcined Clays as SCM-A Review.

Calcined mixed clays are one of the most promising alternative supplementary cementitious materials. However, their standardized use is difficult due to the wide range of compositions of the raw materials. The reactivity potential of different clays can hardly be estimated on the basis of simple characteristics so far. This review aims to identify and compile the factors that determine reactivity. At first, an overview of the methods to evaluate reactivity is presented in order to provide a definition of this term. Subsequently, the reactivity-determining factors are compiled and subdivided into the characteristics of the raw material (chemical and mineralogical composition), the parameters of calcination (furnace type, temperature, grain size, retention time, and cooling), and the characteristics of the calcined material (physical properties and amorphous phase). Interrelations are discussed qualitatively. In the second step, a quantitative literature analysis was conducted to quantify correlations between the different factors and reactivity. However, since the characterization methods in the literature are very different, the data can hardly be analyzed quantitatively. Consequently, this paper points out what information is needed to conduct profound, comparable studies to evaluate the reactivity potential of clays.

Analysis of Mental Health Research in US Army—A Quantitative Analysis of the American Military Psychological Stress Research Literature based on Citespace

Analysis of Mental Health Research in US Army—A Quantitative Analysis of the American Military Psychological Stress Research Literature based on Citespace

Clinical applications and outcomes of the surgical tooth extrusion technique: A bibliometric analysis from 1982 to 2023

The surgical extrusion technique has been advocated for severely damaged teeth as well as for intruded and unerupted teeth. However, a quantitative literature analysis is lacking. The purpose of this bibliometric analysis was to provide a comprehensive overview of surgical extrusion, assess the applications and outcomes, and evaluate topics for future research. An electronic search was conducted in leading databases in April 2023. Human studies with surgical tooth extrusion or synonyms in titles or abstracts were included. A bibliographic analysis, co-occurrence analysis, and coupling of publications were performed. The analysis of variance was used to assess the characteristics of the subgroups based on indications. The survival rate was evaluated by using the Kaplan-Meier method in the R software program (α=.05). Fifty-one studies from 1982 to 2023 were included. The Journal of Dental Traumatology and the Journal of Prosthetic Dentistry combined published approximately one-third of the papers and acquired the most citations. The burst detection of keywords revealed 4 popular research topics: the Benex extraction system, chlorhexidine for infection control, rigid or semi-rigid splints to decrease the risk of complications, and novel restorative materials to improve esthetics. An overall survival rate of 96.36% was reported among 316 participants with 330 extruded teeth. No significant differences were found in study types, geographic distribution, year of publication, or citation counts among the 4 subgroups (surgical extrusion for subgingival fractures, extensive caries, intruded teeth, and unerupted teeth). A significant difference was observed among the Kaplan-Meier curves of the 4 subgroups (P=.030). Surgical extrusion may be used to save otherwise nonrestorable teeth, and the procedure has shown promising survival rates when teeth are properly selected and the procedure is well executed. Subgingival fractures and extensive caries near bone level are the predominant indications, as well as intruded and unerupted teeth. Surgical extrusion is a reliable treatment option to facilitate tooth restoration for severely damaged teeth, especially for maxillary anterior teeth.

Dietary factors in nonalcoholic fatty liver disease: impacts on human and animal health - a review

Abstract Non-alcoholic fatty liver disease (NAFLD) is defined as a clinical syndrome characterized by excessive fat accumulation in liver, predominantly influenced by dietary choices. This study provides an extensive quantitative literature analysis on dietary influences on NAFLD. Bibliometric data were collected through the search string TOPIC = (“NAFLD*” OR “nonalcoholic fatty liver*” OR “non-alcoholic fatty liver*”) AND TOPIC = (“diet*” OR “nutrition*” OR “food*” OR “feed*”), which yielded 12,445 publications indexed within the Web of Science Core Collection. Utilizing VOSviewer software, term maps were generated to visually illustrate recurring phrases alongside citation data. The literature, which has seen exponential growth since the 2010s, predominantly consists of original articles, with a ratio of 4.7:1 compared to reviews. Notably, the significant contributors to this field were China and the United States. The majority of publications were found journals specialized in Gastroenterology & Hepatology, Nutrition & Dietetics, Biochemistry & Molecular Biology, Endocrinology & Metabolism, and Pharmacology & Pharmacy. Key dietary compounds/compounds classes such as resveratrol, polyphenols, curcumin, berberine, quercetin, flavonoids, omega-3 fatty acids, docosahexaenoic acid (DHA), genistein, and palmitic acid were frequently mentioned and cited. Many of them were demonstrated to have some potential benefits on NAFLD, both in human and animal studies.

A Bibliometric Review of the Development and Challenges of Vernacular Architecture within the Urbanisation Context

An effective strategy for sustainable development is to conduct research on vernacular architecture in response to urbanisation as well as environmental and climate change challenges. However, focused discussion has been limited to date due to the diverse range of disciplines involved in vernacular architecture and the unique examples in practice. Scopus, one of the largest literature databases, was used to find and select a total of 1403 documents for this paper. Techniques for both quantitative and qualitative literature analysis were employed using Microsoft Excel (Version 16.75.2) and the visualisation tool VOSviewer (Version 1.6.19). Using bibliometric analysis, more academic publications were reviewed, aiming to analyse the current situation, influence, and future direction of the literature related to vernacular architecture. The current issues have been obtained from the statistical results, and the opportunities and challenges of vernacular architecture in today’s cities are discussed. The twenty most frequently referenced publications, keywords, and correlations between co-occurrences were all examined in this bibliometric analysis, along with annual publishing trends and the most influential nations, institutions, sources, and authors. The analysis showed a rising trend in vernacular architectural publications, with China, Italy, and Spain being the most prolific nations whose institutions have a high academic impact. However, the degree of international author collaboration remains insignificant. Future themes could focus on energy, comfort, earthquake resilience, and sustainability, with cultural heritage and vernacular communities still receiving little research attention. This study is a comprehensive bibliometric analysis of vernacular architecture, as well as an important study of sustainability and resilience, affirming the importance of vernacular architecture in terms of future urban form and drawing on the lessons of history. Also, the proposed research framework could be a strong reference for future researchers looking for inspiration.

Translational Structure Map of SARS-CoV-2: A Clinical Analysis of its Origin

Background: SARS-CoV-2 was declared a global health emergency by WHO Emergency Committee based on growing case notification rates at Chinese and international locations. In this paper, we present an approach to understand the probable clinical origin of SARS-CoV-2. Methods: A combination of citation network analysis, analysis of Medical Heading Subject (MeSH) terms, and quantitative content analysis of scientific literature, was employed to map the organization of the clinical origin of SARS-CoV-2 in this paper. Results: According to the results of the study, a genome of the first 2019-nCoV strain in Hangzhou was obtained, and phylogenetic analysis showed the genome to be closest to the genome of a bat SARS-like coronavirus strain, RaTG13, with an identity of 96.11%. Conclusion: The studies show that the dead Malayan pangolins found close to the outbreak of COVID-19 in China may have carried coronavirus closely related to SARS-CoV-2.

Indeks Zakat Nasional (IZN) sebagai Basis Indeks Kelembagaan Zakat di Baznas Provinsi D.I. Yogyakarta

Indonesia is a country with the largest Muslim population in the world. So that the zakat instrument is believed to be a solution to reduce poverty and create prosperity. This study aims to analyze and determine the National Zakat Index (IZN) as the basis for the institutional index of zakat in BAZNAS Province, D.I. Yogyakarta. The method used is a quantitative literature analysis study with descriptive analysis techniques. The results of the study illustrate the value of the D.I. BAZNAS IZN. Yogyakarta in 2021 is 0.67, which comes from the components of the macro and micro dimensions. Then, zakat has an impact on reducing poverty when viewed from the poverty line, it has kifayah and nisab zakat

Coculturing rice with aquatic animals promotes ecological intensification of paddy ecosystem

AbstractSpecies coculture can increase agro-biodiversity and therefore constitutes an ecological intensification measure for agriculture. Rice–aquatic animal coculture, one type of species coculture, has been practiced and researched widely. Here, we review recent studies and present results of a quantitative analysis of literature on rice–aquatic animal coculture systems. We address three questions: (i) can rice yield and soil fertility be maintained or increased with less chemical input through rice–aquatic animal coculture? (ii) how do aquatic animals benefit the paddy ecosystem? (iii) how can coculture be implemented for ecological intensification? Meta-analysis based on published papers showed that rice–aquatic animal cocultures increased rice yield, soil organic carbon and total nitrogen and decreased insect pests and weeds compared with rice monocultures. Studies also showed that rice–aquatic animal cocultures reduced pesticide and fertilizer application compared with rice monocultures. Rice plants provide a beneficial environment for aquatic animals, leading to high animal activities in the field. Aquatic animals, in turn, help remove rice pests and act as ecological engineers that affect soil conditions, which favor the growth of rice plants. Aquatic animals promote nutrient cycling and the complementary use of nutrients between rice and aquatic animals, which enhances nutrient-use efficiency in the coculture. To generate beneficial outcomes, how to develop compatible partnerships between rice and aquatic animals, and compatible culturing strategies for coculture systems are the key points. Investigating which traits of aquatic animals and rice varieties could best match to create productive and sustainable coculture systems could be one of the future focuses.

The intellectual structure of gender equality research in the business economics literature

In both the public and private sectors, gender equality is a major issue faced by modern management. It is also a primary concern for the global sustainable development defined by the UN 2030 Agenda. Gender equality, as a research topic, has been explored from many different social, economic and political sides; nevertheless, gender equality in business economics is still a very promising research field since the everchanging global organisational environment requires frequent updates and polysemic approaches. The aim of this study is to identify and visualise the intellectual structure and dynamics of gender equality research on business economics literature through a bibliometric quantitative literature analysis. Our results found 12 main lines of research. They also identify the trending topics, sources of knowledge, and literature dissemination paths along these lines between 2001 and 2020. This work contributes to the field of gender issues by showing its intellectual structure and providing a research agenda and identifying future research lines and gaps in the area.