Scientometric analyzing the output of researchers and organizations on COVID-19 for better conducting the scientific efforts: with a glance to endocrinology

A brief review and scientometric analysis on ensemble learning methods for handling COVID-19

Numerous efforts and research have been conducted worldwide to combat the coronavirus disease 2019 (COVID-19) pandemic. In this regard, some researchers have focused on deep and machine-learning approaches to discover more about this disease. There have been many articles on using ensemble learning methods for COVID-19 detection. Still, there seems to be no scientometric analysis or a brief review of these researches. Hence, a combined method of scientometric analysis and brief review was used to study the published articles that employed an ensemble learning approach to detect COVID-19. This research used both methods to overcome their limitations, leading to enhanced and reliable outcomes. The related articles were retrieved from the Scopus database. Then a two-step procedure was employed. A concise review of the collected articles was conducted. Then they underwent scientometric and bibliometric analyses. The findings revealed that convolutional neural network (CNN) is the mostly employed algorithm, while support vector machine (SVM), random forest, Resnet, DenseNet, and visual geometry group (VGG) were also frequently used. Additionally, China has had a significant presence in the numerous top-ranking categories of this field of research. Both study phases yielded valuable results and rankings.

Artificial intelligence centric scientific research on COVID-19: an analysis based on scientometrics data

With the spread of the deadly coronavirus disease throughout the geographies of the globe, expertise from every field has been sought to fight the impact of the virus. The use of Artificial Intelligence (AI), especially, has been the center of attention due to its capability to produce trustworthy results in a reasonable time. As a result, AI centric based research on coronavirus (or COVID-19) has been receiving growing attention from different domains ranging from medicine, virology, and psychiatry etc. We present this comprehensive study that closely monitors the impact of the pandemic on global research activities related exclusively to AI. In this article, we produce highly informative insights pertaining to publications, such as the best articles, research areas, most productive and influential journals, authors, and institutions. Studies are made on top 50 most cited articles to identify the most influential AI subcategories. We also study the outcome of research from different geographic areas while identifying the research collaborations that have had an impact. This study also compares the outcome of research from the different countries around the globe and produces insights on the same.

Scientometric assessment of scientific documents published in 2020 on herbal medicines used for COVID-19

Objective

Many studies have suggested herbal medicines as alternatives or adjuvants to modern drugs for COVID-19. Their scientometric analyses can provide a scientific overview of this topic.

Materials and methods

Web of Science (WOS) and Scopus were searched for articles on the use of herbal medicines in COVID-19 published until 26 October 2020. Collected data were analyzed for document type, subject area, top journal, citation number, and authors’ collaboration network using VOSviewer 1.6.15, ScientoPy 2.0.3, Gephi 0.9.2, and SPSS 15 statistical tools.

Results

After screening the 3185 retrieved records, 378 and 849 records, respectively from WOS and Scopus, remained for quantity analysis. Original and review articles were the two main types of papers in both databases. Top subject areas were drug and medicine, respectively in the WOS and Scopus databases. The top three productive countries in the field were China, the US, and India. The most cited article was a practice guideline in both databases. “Journal of Biomolecular Structure Dynamics” in WOS and “Chinese Traditional and Herbal Drugs” in Scopus were the top journals. Top keywords included “COVID-19″ and “Traditional Chinese Medicine”. US authors had the highest collaboration with other authors.

Conclusions

The current study provides a snapshot of the quantity and characteristics of published scholarly documents in recent months in the intersection of herbal medicines and COVID-19. Our findings help scientists to find the existing gaps, identify the active authors and scientific institutes to collaborate with and use their experience to produce new knowledge in the future.

Differences in Global Scientific Production Between New mRNA and Conventional Vaccines Against COVID-19

The search for effective vaccines to stop the COVID-19 pandemic has led to an unprecedented amount of global scientific production and activity. This study aimed to analyze global scientific production on the different vaccine types (mRNA and conventional) that were validated for COVID-19 during the years 2020-2021. The scientific production generated on COVID-19 vaccines during the period 2020-2021 totaled the enormous amount of 20,459 studies published. New mRNA vaccines clearly showed higher production levels than conventional vaccines (viral and inactivated vectors), with 786 and 350 studies, respectively. The USA is the undisputed leader in the global production on COVID-19 vaccines, with Israel and Italy also playing an important role. Among the journals publishing works in this field, the New England Journal of Medicine, the British Medical Journal, and Vaccines stand out from the rest as the most important. The keyword 'immunogenicity' and its derivatives have been more researched for the new mRNA vaccines, while thrombosis has been more studied for conventional vaccines. The massive scientific production generated on COVID-19 vaccines in only two years has shown the enormous gravity of the pandemic and the extreme urgency to find a solution. This high scientific production and the main keywords found for the mRNA vaccines indicate the great potential that these vaccines have against COVID-19 and future infectious diseases. Moreover, this study provides valuable information for guiding future research lines and promoting international collaboration for an effective solution.

Scientometric Analysis of Global Scientific Publications on COVID-19 and Diabetes with an Emphasis on Middle Eastern Countries

BACKGROUND

Due to the worldwide spread of COVID-19, various countries have designed scientific studies on different aspects of the disease. Patients with diabetes mellitus (DM) have been proven to be at higher risk of COVID-19-related complications, hospitalization, and death.

OBJECTIVES

The aim was to conduct a scientometric analysis of scholarly outputs on diabetes and COVID-19.

METHODS

Web of Science was searched for scientific publications on diabetes and COVID-19 by Middle Eastern researchers until September 14, 2021. Collected data were analyzed for document type, subject area, countries, top journals, citation number, and authors' collaboration network using VOS viewer 1.6.15 and bibliometrix R-package 4.1.1.

RESULTS

Overall, the characteristics of 603 documents on DM and COVID-19 were analyzed. The top three productive countries in the field were Iran, Turkey, and Saudi Arabia. The top affiliation was from Iran; "Tehran University of Medical Sciences" (n = 168), followed by "Shahid Beheshti University of Medical Sciences" (n = 82). The total citation number was 3704 times. The highest cited paper (348) was a systematic review from Iran, published in arch Acad Emerg Med. The top source was "Diabetes & Metabolic Syndrome: Clinical Research & Reviews," with 26 documents.

CONCLUSIONS

The current study provides an overview of the quantity and quality of published scholarly documents on the intersection of DM and COVID-19 in the region. Our findings help scientists find the existing gaps, manage the research budgets, identify active authors and scientific institutes to collaborate with, and use their experience to produce new knowledge in the future.

Gamification in education: A scientometric, content and co-occurrence analysis of systematic review and meta-analysis articles

This study seeks scientometric, content and co-occurrence analysis of systematic review and Meta-analysis articles in the field of gamification in education. In terms of purpose, this is an applied study and regarding type, it is a scientometric and co-occurrence analysis. The researchers conducted a search in WoS, Scopus and PubMed databases. The abstract and full text of 25 out of 71 articles were selected to be included in the study. Then, the citation and altmetrics indicators were investigated. In addition, VOSviewer software was utilized to analyze and visualize keywords and map of articles. Finally, the full texts of all articles were analyzed to be provided more information about the types of analyses in these articles. The findings showed that 25 articles were published between 2016 and 2021. Co-occurrence map of articles showed that the three variables of motivation, learning, and engagement have been considered in gamified education studies and most studies have examined gamification in the e-learning environment. Finally, the content analysis of the articles showed that 344 articles were included and analyzed in these 25 systematic reviews and meta-analyses. The types of analyzes performed on these 344 articles categorized them in 7 categories including Country/Territory, Duration of intervention, Lessons/content and the level of gamified educational course, the number of learners, platforms, the game elements and the theories. The results of the study illustrate that different dimensions of the gamification in articles in the field of Education have been considered by the researchers.

Characteristics of published/registered clinical trials on COVID-19 treatment: A systematic review

OBJECTIVES

Due to the rapid spread of COVID-19 worldwide, many countries have designed clinical trials to find efficient treatments. We aimed to critically report the characteristics of all the registered and published randomized clinical trials (RCTs) conducted on COVID-19, and summarize the evaluation of potential therapies developed in various regions.

EVIDENCE ACQUISITION

We comprehensively searched PubMed, Cochrane Library, Web of Science, Scopus, and Clinicaltrial.gov databases to retrieve all the relevant studies up to July 19, 2021, in conformity with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flowchart. We included all English-language published/registered RCTs on COVID-19, and excluded non-RCT, in-vitro/in-vivo, editorials, and review studies. Two reviewers independently evaluated all the records, and then analyzed by using SPSS 17.

RESULTS

Within 3018 included studies, 2801 (92.8%) and 217 (7.2%) were registered or published RCTs consisting of about 600 synthetic drugs. Herbal medicines have been studied in 23 trials (10.6%) among the published RCTs and in 357 registered RCTs (12.7%). Hydroxychloroquine 23 (10.6%) and convalescent plasma 194 (6.9%) alone or in combination with other agents were the most frequently used interventions in published and registered RCTs, respectively. Most published RCTs have been conducted in Western Pacific Region (WPRO) (50 trials, 23.0%) including 45 trials from China. Also, a greater proportion of registered RCTs have been conducted in the Region of the Americas (PAHO) (885 trials, 31.6%) including 596 RCTs from the United States (U.S). Globally, 283 registered trials have been conducted to assess new developed vaccines for COVID or previously established for other disorders.

CONCLUSION

The present study highlighted the wide range of potential therapeutic agents in published and registered COVID-19 clinical trials across a wide range of regions. However, it is urgently required to global coordination in order to conduct more well-designed trials and progress in discovering safe and effective treatments.

Visibility, collaboration and impact of the Cuban scientific output on COVID-19 in Scopus

INTRODUCTION

COVID-19 is a disease with worldwide impact that has fully caught attention of researchers. The Cuban scientific output, after one year of confronting this pandemic, has not been studied from a bibliometric perspective.

OBJECTIVE

To characterize the output of original scientific articles and review articles on COVID-19 published by Cuban authors in the journals included in the Scopus bibliographic database, the collaborations in these publications and their impact, according to the citation of the research in the world literature.

MATERIALS AND METHODS

A cross-sectional, descriptive and observational study was performed, using a bibliometric approach. A search strategy was used to retrieve articles on the subject and bibliometric indicators of output, visibility, leadership, collaboration and impact were studied.

RESULTS

Cuba contributed 2.5% of the Latin American output and 0.2% of the world output. Of the national scientific output (133 articles, 111 original and 22 reviews), 84.2% were authored by a Cuban corresponding author (Cuban leadership). However, the majority (n = 20; 71.4%) of articles with international collaboration (n = 28; 21.1%) had foreign corresponding authors. Of the total, 33.8% (n = 45) corresponded to articles without collaboration. Only 13.5% of the articles (n = 18) were published in journals with high visibility (Q1). Of all the output, 68.4% (n = 91) was in Cuban journals. The output in English represented 29.3% (n = 39) and achieved greater impact than the articles in Spanish in terms of citations. As the visibility of the journals increased according to the quartiles where they are, the percentage of articles published in English and cited articles increased too, but Cuban scientific leadership decreased.

CONCLUSIONS

The greater the leadership in Cuban research, the lower its impact, and the lower the indexes of international collaboration. Cuban researchers are not yet able to systematically generate research that has a significant impact on the international scientific community.

Evolution and structure of research fields driven by crises and environmental threats: the COVID-19 research

Evolution of science and behavior of new research fields emerging under conditions of crisis are newtopics hardly known in social studies of science and scientometrics. In particular, the ecosystem and dynamics of research fields during crisis are vital aspects for explaining and planning the scientific development, and allocating resources efficaciously toward positive societal impact. This study here endeavors to analyze the evolution and structure of COVID-19 (Coronavirus Disease 2019) research, a new research field emerged and driven by a global pandemic crisis. The dynamics and structure of this research field are compared to related fields concerning respiratory disorders that are not guided by pandemic crisis, such as chronic obstructive pulmonary disease and lung cancer, to explain similarities and differences. Results suggest that a crisis-driven research field is characterized by an unparalleled velocity of scientific production equal to about 1.2% daily, based on notes and short papers mainly open access that support scientific advances and discoveries in research arena over a short period of time, such as the development of innovative drugs given by novel vaccines and new antiviral COVID-19 treatments. Findings are generalized in properties that clarify the evolution and structure of new research fields and their research behavior in a period of crisis for guiding decisions of policymakers to support scientific and technological progress in human society in the presence of environmental threats.

Iran diabetes research study; knowledge discovery in diagnosis: a scoping review

Introduction

The rising prevalence of diabetes shows high health and socio-economic burdens. Therefore, the development and evaluation of new diagnostic methods may improve the detection of disease and its complications in the early stages. This study aimed to analyze the scope of the studies related to diabetes diagnosis.

Material and method

Publications from January 2015 until December 2019 (5 years) were searched with keywords of (diabetes OR diabetic) AND (Iran) in Scopus and PubMed databases. All data were reviewed by two reviewers and the included publications were categorized based on the subjects, study design, and publication year.

Results

Based on the selected criteria, 103 articles were included. The highest number of publications was observed in 2019. The trend of publication was slightly increased during the study period (2015-2019). Case-control and cross-sectional studies were the most common type of study design used in the included documents. Publications in the field of diagnostic models, biomarkers, and biosensors from 2015 to 2019 showed an increasing trend compared to others subjects.

Discussion and conclusion

Studies about proper diabetes diagnostic procedures such as new diagnostic techniques, using diagnostic models, and evaluation of new diagnostic biomarkers in Iran are remarkably increased. However, more original and review studies are needed to improve scientific methods in the field of early detection of diabetes.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-021-00843-x.