Global trends in research related to social media in psychology: mapping and bibliometric analysis

Illness perception: A bibliometric study

Illness perception is a crucial area of study that has seen significant growth and development over the years. This study conducts a comprehensive bibliometric and network analysis of illness perception research, capturing its evolution from 1975 to 2023. Utilizing 1813 publications from the Scopus database, authored by 5428 researchers, we identify key scholars and influential articles in the field. Our analysis includes various bibliometric networks such as citation, co-citation, collaboration, and keyword co-occurrence networks, along with the presentation of intellectual structure maps. Major research areas include the role of illness perception in mental health conditions like depression, coping mechanisms, quality of life, and chronic illnesses like diabetes, as well as the influence of lay beliefs on health behaviors, and the impact of illness beliefs on conditions like Myocardial Infarction and stroke. The results show a growing academic interest in understanding how illness perceptions shape healthcare outcomes and behaviors.

Understanding scholar-trajectories across scientific periodicals

Despite the rapid growth in the number of scientific publications, our understanding of author publication trajectories remains limited. Here we propose an embedding-based framework for tracking author trajectories in a geometric space that leverages the information encoded in the publication sequences, namely the list of the consecutive publication venues for each scholar. Using the publication histories of approximately 30,000 social media researchers, we obtain a knowledge space that broadly captures essential information about periodicals as well as complex (inter-)disciplinary structures of science. Based on this space, we study academic success through the prism of movement across scientific periodicals. We use a measure from human mobility, the radius of gyration, to characterize individual scholars' trajectories. Results show that author mobility across periodicals negatively correlates with citations, suggesting that successful scholars tend to publish in a relatively proximal range of periodicals. Overall, our framework discovers intricate structures in large-scale sequential data and provides new ways to explore mobility and trajectory patterns.

Green finance and environmental sustainability: a systematic review and future research avenues

This study critically examines the dynamic interplay between green finance and environmental sustainability using a systematic review and bibliometric analysis. The analysis is centered on 507 scholarly articles published between 2013 and 2023 in the Scopus database and leverages Microsoft Excel, Harzing Publish or Perish, and VOSviewer to identify publication trends, key contributors, research impact, and emergent themes in this rapidly evolving field. The findings reveal that research on green finance and environmental sustainability has increased exponentially over the past decade, with China and institutions in Asia emerging as prominent contributors compared to other regions. This study also identified the Environmental Science and Pollution Research journal as the most active source title, demonstrating its commitment to publishing current findings on the topic. Through keyword analysis, several research avenues have been proposed to guide future research on enhancing the strategic role of green finance in promoting environmental sustainability. These avenues include broadening the geographical scope of research, exploring the synergies between green finance and emerging fintech innovations, developing robust metrics to quantify the socioeconomic impacts of green finance, establishing a risk and resilience framework to protect green finance against uncertainties, and creating a Green Finance Performance Index to evaluate the dual returns of environmental and financial performance.

Bibliometric analysis of veterinary medicine on embryo of animals in textbook in conceptualizing disease and health

In veterinary medicine, the concept of disease is critical because it related to the survivability rate of the veterinary, especially livestock. Chicken was the most popular livestock that was observed in veterinary medicine. However, veterinary books were less popular compared to article and conference paper in global academic. This study's goal was to look how was the depiction of topic disease was used in veterinary textbooks that were related to the embryo of chicken as well as the trend of that topic. This study gathered 90 books meta-data donwloaded from Scopus website in form of CSV file. The data were analyzed using Vosviewer and biblioshiny of R Studio software to see the topic trend, citation, and number of book pages. Literature review also used to see the depiction of disease inside samples. Result showed that authors' keywords, heart and disease were closely related with a keyword chicken embryo. Moreover, each book get at least 10-11 citations globally. Moreover, repetitive keywords used in abstract of samples of this study were cells/cell, gene, and human. Those repetitive words were closely related to a word disease. It could be means that cell of the embryo of chicken also played the important role in determining its resistance against disease.

Growth in chikungunya virus-related research in ASEAN and South Asian countries from 1967 to 2022 following disease emergence: a bibliometric and graphical analysis

BACKGROUND

ASEAN (Association of Southeast Asian Nations) is composed of ten Southeast Asian countries bound by socio-cultural ties that promote regional peace and stability. South Asia, located in the southern subregion of Asia, includes nine countries sharing similarities in geographical and ethno-cultural factors. Chikungunya is one of the most significant problems in Southeast and South Asian countries. Much of the current chikungunya epidemic in Southeast Asia is caused by the emergence of a virus strain that originated in Africa and spread to Southeast Asia. Meanwhile, in South Asia, three confirmed lineages are in circulation. Given the positive correlation between research activity and the improvement of the clinical framework of biomedical research, this article aimed to examine the growth of chikungunya virus-related research in ASEAN and South Asian countries.

METHODS

The Scopus database was used for this bibliometric analysis. The retrieved publications were subjected to a number of analyses, including those for the most prolific countries, journals, authors, institutions, and articles. Co-occurrence mapping of terms and keywords was used to determine the current state, emerging topics, and future prospects of chikungunya virus-related research. Bibliometrix and VOSviewer were used to analyze the data and visualize the collaboration network mapping.

RESULTS

The Scopus search engine identified 1280 chikungunya-related documents published by ASEAN and South Asian countries between 1967 and 2022. According to our findings, India was the most productive country in South Asia, and Thailand was the most productive country in Southeast Asia. In the early stages of the study, researchers investigated the vectors and outbreaks of the chikungunya virus. In recent years, the development of antivirus agents has emerged as a prominent topic.

CONCLUSIONS

Our study is the first to present the growth of chikungunya virus-related research in ASEAN and South Asian countries from 1967 to 2022. In this study, the evaluation of the comprehensive profile of research on chikungunya can serve as a guide for future studies. In addition, a bibliometric analysis may serve as a resource for healthcare policymakers.

Technology in psychology: a bibliometric analysis of technology-based interventions in clinical and health psychology

This study aimed to identify, synthesize, and evaluate the current state of research on the use of technology-based interventions in clinical psychology through 2017 as a recent innovative area of study. It was intended to provide a critical overview of trends in different tools and populations and identify future areas of interest. This paper focuses on studies published in psychological interventions in childhood, adolescents, adults, and geriatric populations using new technologies, including web-based intervention, virtual reality, augmented reality, mobile applications, and robotics, with particular attention to methodology. To achieve this aim, a systematic search was made in the ISI Web of Science for intervention, psychology, and the technological tools previously mentioned. The results of the study show that the use of information and communication technologies in psychology has been an innovative and growing field of study for the last 10 years. In total, 743 were included in this study. A growing trend has been observed in publications related to psychology and the use of technologies since 2007. Resea0rch topics were focused mainly on interventions on specific problems or disorders such as depression. The largest number of publications were found for the web-based intervention, in randomized clinical trials and applied to adults.

Health Promotion on Instagram: Descriptive-Correlational Study and Predictive Factors of Influencers' Content

The pandemic has accentuated the power that influencers have to influence their followers. Various scientific approaches highlight the lack of moral and ethical responsibility of these creators when disseminating content under highly sensitive tags such as health. This article presents a correlational statistical study of 443 Instagram accounts with more than one million followers belonging to health-related categories. This study aims to describe the content of these profiles and their authors and to determine whether they promote health as accounts that disseminate health-related content, identifying predictive factors of their content topics. In addition, it aims to portray their followers and establish correlations between the gender of the self-described health influencers, the characteristics of their audience and the messages that these prescribers share. Health promotion is not the predominant narrative among these influencers, who tend to promote beauty and normative bodies over health matters. A correlation is observed between posting health content, the gender of the influencers and the average age of their audiences. The study concludes with a discussion on the role of public media education and the improvement of ethical protocols on social networks to limit the impact of misleading and false content on sensitive topics, increasing the influence of real health prescribers.

Past, Present and Future of Research on Wearable Technologies for Healthcare: A Bibliometric Analysis Using Scopus

Currently, wearable technology is present in different fields that aim to satisfy our needs in daily life, including the improvement of our health in general, the monitoring of patient health, ensuring the safety of people in the workplace or supporting athlete training. The objective of this bibliometric analysis is to examine and map the scientific advances in wearable technologies in healthcare, as well as to identify future challenges within this field and put forward some proposals to address them. In order to achieve this objective, a search of the most recent related literature was carried out in the Scopus database. Our results show that the research can be divided into two periods: before 2013, it focused on design and development of sensors and wearable systems from an engineering perspective and, since 2013, it has focused on the application of this technology to monitoring health and well-being in general, and in alignment with the Sustainable Development Goals wherever feasible. Our results reveal that the United States has been the country with the highest publication rates, with 208 articles (34.7%). The University of California, Los Angeles, is the institution with the most studies on this topic, 19 (3.1%). Sensors journal (Switzerland) is the platform with the most studies on the subject, 51 (8.5%), and has one of the highest citation rates, 1461. We put forward an analysis of keywords and, more specifically, a pennant chart to illustrate the trends in this field of research, prioritizing the area of data collection through wearable sensors, smart clothing and other forms of discrete collection of physiological data.

Detecting the research structure and topic trends of social media using static and dynamic probabilistic topic models

Purpose

A huge volume of published research articles is available on social media which evolves because of the rapid scientific advances and this paper aims to investigate the research structure of social media.

Design/methodology/approach

This study employs an integrated topic modeling and text mining-based approach on 30381 Scopus index titles, abstracts, and keywords published between 2006 and 2021. It combines analytical analysis of top-cited reviews with topic modeling as means of semantic validation. The output sequences of the dynamic model are further analyzed using the statistical techniques that facilitate the extraction of topic clusters, communities, and potential inter-topic research directions.

Findings

This paper brings into vision the research structure of social media in terms of topics, temporal topic evolutions, topic trends, emerging, fading, and consistent topics of this domain. It also traces various shifts in topic themes. The hot research topics are the application of the machine or deep learning towards social media in general, alcohol consumption in different regions and its impact, Social engagement and media platforms. Moreover, the consistent topics in both models include food management in disaster, health study of diverse age groups, and emerging topics include drug violence, analysis of social media news for misinformation, and problems of Internet addiction.

Originality/value

This study extends the existing topic modeling-based studies that analyze the social media literature from a specific disciplinary viewpoint. It focuses on semantic validations of topic-modeling output and correlations among the topics and also provides a two-stage cluster analysis of the topics.

Obsessive-Compulsive Disorder (OCD) Types and Social Media: Are Social Media Important and Impactful for OCD People?

Social media (SM) are the new standard for social interaction and people with OCD use such platforms like everyone else. However, the research on these individuals provides limited, sporadic, and difficult-to-generalize data outside of social-media evidence for one specific context concerning how SM is experienced by people with OCD. Our cross-sectional study involved 660 participants (71.4% females, 28.6% males) with 22% of the sample surpassing the 90° percentile threshold to be identified as high-level OCD-symptomatic individuals. Our work highlighted that roughly all OCD types are affected by social media in terms of mood and that these individuals appeared to give SM more importance than non-OCD individuals. The evidence presented, although very narrow, can be conceived as the first building blocks to encourage future research considering how individuals with OCD experience social media, since they appear to be affected more by them compared to non-OCD individuals.

Research trends in cybercrime victimization during 2010-2020: a bibliometric analysis

Research on cybercrime victimization is relatively diversified; however, no bibliometric study has been found to introduce the panorama of this subject. The current study aims to address this research gap by performing a bibliometric analysis of 387 Social Science Citation Index articles relevant to cybercrime victimization from Web of Science database during the period of 2010-2020. The purpose of the article is to examine the research trend and distribution of publications by five main fields, including time, productive authors, prominent sources, active institutions, and leading countries/regions. Furthermore, this study aims to determine the global collaborations and current gaps in research of cybercrime victimization. Findings indicated the decidedly upward trend of publications in the given period. The USA and its authors and institutions were likely to connect widely and took a crucial position in research of cybercrime victimization. Cyberbullying was identified as the most concerned issue over the years and cyber interpersonal crimes had the large number of research comparing to cyber-dependent crimes. Future research is suggested to concern more about sample of the elder and collect data in different countries which are not only European countries or the USA. Cross-nation research in less popular continents in research map was recommended to be conducted more. This paper contributed an overview of scholarly status of cybercrime victimization through statistical evidence and visual findings; assisted researchers to optimize their own research direction; and supported authors and institutions to build strategies for research collaboration.

Exploring the Shift in International Trends in Mobile Health Research From 2000 to 2020: Bibliometric Analysis

BACKGROUND

Smartphones have become an integral part of our lives with unprecedented popularity and a diverse selection of apps. The continuous upgrading of information technology has also enabled smartphones to display great potential in the field of health care.

OBJECTIVE

We aimed to determine the future research direction of mobile health (mHealth) by analyzing its research trends and latest research hotspots.

METHODS

This study collected mHealth-related literature published between 2000 and 2020 from the Web of Science database. Descriptive statistics of publication trends of mHealth research were determined by analyzing the annual number of publications in the literature and annual number of publications by country. We constructed visualization network maps of country (or regional) collaborations and author-provided keyword co-occurrences, as well as overlay visualization maps of the average publication year of author-provided keywords to analyze the hotspots and research trends in mHealth research.

RESULTS

In total, 12,593 mHealth-related research papers published between 2000 and 2020 were found. The results showed an exponential growth trend in the number of annual publications in mHealth literature. JMIR mHealth and uHealth, the Journal of Medical Internet Research, and JMIR Research Protocols were the 3 top journals with respect to number of publications. The United States remained the leading contributor to the literature in this area (5294/12,593, 42.0%), well ahead of other countries and regions. Other countries and regions also showed a clear trend of annual increases in the number of mHealth publications. The 4 countries with the largest number of publications-the United States, the United Kingdom, Canada, and Australia-were found to cooperate more closely. The rest of the countries and regions showed a clear geographic pattern of cooperation. The keyword co-occurrence analysis of the top 100 authors demonstrated 5 clusters, namely, development of mHealth medical technology and its application to various diseases, use of mHealth technology to improve basic public health and health policy, mHealth self-health testing and management in daily life, adolescent use of mHealth, and mHealth in mental health. The research trends revealed a gradual shift in mHealth research from health policy and improving public health care to the development and social application of mHealth technologies.

CONCLUSIONS

To the best of our knowledge, the most current bibliometric analysis dates back to 2016. However, the number of mHealth research published between 2017 and 2020 exceeds the previous total. The results of this study shed light on the latest hotspots and trends in mHealth research. These findings provide a useful overview of the development of the field; they may also serve as a valuable reference and provide guidance for researchers in the digital health field.

Information discernment and the psychophysiological effects of misinformation

Purpose

The purpose of this paper is to determine to what extent a person’s psychophysiological well-being is affected by misinformation and whether their level of information discernment has any positive or negative effect on the outcome.

Design/methodology/approach

Participants (n = 48) were randomly and blindly allocated to one of two groups: control group participants were told a person they were working with was a student; experimental group participants were additionally led to believe that this other participant had extreme religious views. This was both stigmatising and misinforming, as this other person was an actor. Participants completed a pre-screening booklet and a series of tasks. Participants’ cardiovascular responses were measured during the procedure.

Findings

Participants with high levels of information discernment, i.e. those who are curious, use multiple sources to verify information, are sceptical about search engine information, are cognisant of the importance of authority and are aware that knowledge changes and is contradictory at times exhibited an adaptive stress response, i.e. healthy psychophysiological outcomes and responded with positive emotions before and after a stressful task.

Social implications

The findings indicate the potential harmful effects of misinformation and discuss how information literacy or Metaliteracy interventions may address this issue.

Originality/value

The first study to combine the hitherto unrelated theoretical areas of information discernment (a sub-set of information literacy), affective states (positive affect negative affect survey) and stress (challenge and threat cardiovascular measures).

A Proposed Approach for Conducting Studies That Use Data From Social Media Platforms

The prominence of social media in contemporary society has extended significantly into the health care arena, where both patients and health care providers have used social media platforms to gather, communicate, learn, and share medical content and personal experience in real time. The medical literature has also seen an exponential increase in the number of studies that use data derived from social media coverage of various medical issues and topics. In this guide, we present a step-by-step framework for health care professionals and researchers to conduct studies that use data from social media platforms. We present 6 overarching steps: focus on framing a question that is appropriate for social media evaluation, identification of social media outlet and selection criteria of content, systematic data extraction, assessment of quality of content and sources of bias, analysis of data, and interpretation of study findings. Each step is illustrated with published examples.

Indications of Depressive Symptoms During the COVID-19 Pandemic in Germany: Comparison of National Survey and Twitter Data

BACKGROUND

The current COVID-19 pandemic is associated with extensive individual and societal challenges, including challenges to both physical and mental health. To date, the development of mental health problems such as depressive symptoms accompanying population-based federal distancing measures is largely unknown, and opportunities for rapid, effective, and valid monitoring are currently a relevant matter of investigation.

OBJECTIVE

In this study, we aim to investigate, first, the temporal progression of depressive symptoms during the COVID-19 pandemic and, second, the consistency of the results from tweets and survey-based self-reports of depressive symptoms within the same time period.

METHODS

Based on a cross-sectional population survey of 9011 German adolescents and adults (n=4659, 51.7% female; age groups from 15 to 50 years and older) and a sample of 88,900 tweets (n=74,587, 83.9% female; age groups from 10 to 50 years and older), we investigated five depressive symptoms (eg, depressed mood and energy loss) using items from the Patient Health Questionnaire (PHQ-8) before, during, and after relaxation of the first German social contact ban from January to July 2020.

RESULTS

On average, feelings of worthlessness were the least frequently reported symptom (survey: n=1011, 13.9%; Twitter: n=5103, 5.7%) and fatigue or loss of energy was the most frequently reported depressive symptom (survey: n=4472, 51.6%; Twitter: n=31,005, 34.9%) among both the survey and Twitter respondents. Young adult women and people living in federal districts with high COVID-19 infection rates were at an increased risk for depressive symptoms. The comparison of the survey and Twitter data before and after the first contact ban showed that German adolescents and adults had a significant decrease in feelings of fatigue and energy loss over time. The temporal progression of depressive symptoms showed high correspondence between both data sources (ρ=0.76-0.93; P<.001), except for diminished interest and depressed mood, which showed a steady increase even after the relaxation of the contact ban among the Twitter respondents but not among the survey respondents.

CONCLUSIONS

Overall, the results indicate relatively small differences in depressive symptoms associated with social distancing measures during the COVID-19 pandemic and highlight the need to differentiate between positive (eg, energy level) and negative (eg, depressed mood) associations and variations over time. The results also underscore previous suggestions of Twitter data's potential to help identify hot spots of declining and improving public mental health and thereby help provide early intervention measures, especially for young and middle-aged adults. Further efforts are needed to investigate the long-term consequences of recurring lockdown phases and to address the limitations of social media data such as Twitter data to establish real-time public mental surveillance approaches.

Global distribution of publications in anesthesiology : A bibliometric analysis from 1999 to 2018

PURPOSE

Only few studies have analyzed the global distribution of anesthesia research. This study was designed to reveal the current global research status of anesthesiology.

METHODS

Articles published between 1999 and 2018 in international journals in the field of anesthesiology were retrieved from the PubMed database. The top 20 ranked countries were identified. The gross domestic product (GDP) of each country was also retrieved to reveal the correlation between research outputs and the economy. The total outputs and outputs per 10 million inhabitants in each country were calculated and compared. To analyze the quality of publications among the top 10 ranked countries, the impact factor (IF), article influence score (AIS), and immediacy index (ImI) were calculated and analyzed. In addition, the keywords of publications were retrieved to conduct co-occurrence analysis in order to determine the research focus in anesthesiology.

RESULTS

A total of 112,918 articles were published in 30 selected journals from 1999 to 2018. There was a positive correlation between research outputs and GDP of 10 countries (p < 0.001, r = 0.825). The USA ranked 1st with 21,703 articles, followed by the UK (8393 articles) and Germany (6504 articles). Canada had the highest number of publications per 10 million inhabitants in 2018. The UK had the highest average IF (4.70), average AIS (1.16), and average ImI (1.64) among the 10 countries. The research highlights in the field of anesthesiology included "mechanism and management of pain", "cardiac anesthesia", "pediatric anesthesia and airway management", "analgesia" and "anesthetic agents".

CONCLUSION

Regarding quantity trend, the output of global production in anesthesiology increased continuously as the number of articles from the high-output countries showed an increasing trend; however, there was still a gap between developing and developed countries in research quality. High-quality research should be encouraged in developing countries.

Machine Learning for Mental Health in Social Media: Bibliometric Study

Background

Social media platforms provide an easily accessible and time-saving communication approach for individuals with mental disorders compared to face-to-face meetings with medical providers. Recently, machine learning (ML)-based mental health exploration using large-scale social media data has attracted significant attention.

Objective

We aimed to provide a bibliometric analysis and discussion on research trends of ML for mental health in social media.

Methods

Publications addressing social media and ML in the field of mental health were retrieved from the Scopus and Web of Science databases. We analyzed the publication distribution to measure productivity on sources, countries, institutions, authors, and research subjects, and visualized the trends in this field using a keyword co-occurrence network. The research methodologies of previous studies with high citations are also thoroughly described.

Results

We obtained a total of 565 relevant papers published from 2015 to 2020. In the last 5 years, the number of publications has demonstrated continuous growth with Lecture Notes in Computer Science and Journal of Medical Internet Research as the two most productive sources based on Scopus and Web of Science records. In addition, notable methodological approaches with data resources presented in high-ranking publications were investigated.

Conclusions

The results of this study highlight continuous growth in this research area. Moreover, we retrieved three main discussion points from a comprehensive overview of highly cited publications that provide new in-depth directions for both researchers and practitioners.

Topic Evolution and Emerging Topic Analysis Based on Open Source Software

Purpose

We present an analytical, open source and flexible natural language processing and text mining method for topic evolution, emerging topic detection and research trend forecasting for all kinds of data-tagged text.

Design/methodology/approach

We make full use of the functions provided by the open source VOSviewer and Microsoft Office, including a thesaurus for data clean-up and a LOOKUP function for comparative analysis.

Findings

Through application and verification in the domain of perovskite solar cells research, this method proves to be effective.

Research limitations

A certain amount of manual data processing and a specific research domain background are required for better, more illustrative analysis results. Adequate time for analysis is also necessary.

Practical implications

We try to set up an easy, useful, and flexible interdisciplinary text analyzing procedure for researchers, especially those without solid computer programming skills or who cannot easily access complex software. This procedure can also serve as a wonderful example for teaching information literacy.

Originality/value

This text analysis approach has not been reported before.

Research Synthesis and Thematic Analysis of Twitter Through Bibliometric Analysis

In literature, there is a shortage of comprehensive documents that can provide proper details about Twitter in research community. This study conducted a first descriptive bibliometric analysis to examine the most influential journals, institutions, and countries on Twitter. Similarly, bibliometric mapping analysis is carried out to explore different research themes in Twitter publications. VOSviewer was employed to process the 11,006 Twitter publications retrieved from the Web of Science (WoS) from 2009 to 2018. Obtained results suggest that USA and China received the highest number of publications on Twitter research, while the University of Illinois was the most productive institute. Furthermore, the five major themes have emerged in Twitter publications, and its remarkable role has been found in event detection, sentiment analysis, education, health, politics, and crisis as well as risk management. The authors believe that this study will open new doors for researchers to use online Twitter social networking communities in beauty salons, consulting companies, banks, and airlines.

Social media trends in dermatology, dermatopathology, and pathology publications: The social construction of medical subdisciplines

BACKGROUND

An increase in the number of publications on social media has paralleled the growth of social media use in the past decade. Our study examined the trends in these publications relating to the fields of dermatology, pathology, and dermatopathology.

METHODS

PubMed was searched for relevant literature from 2009 to present, using the following key terms: "social media", "dermatology", "dermatopathology", and "pathology." Topics of articles, years of publication, countries of origin, and contributing journals were compiled and analyzed.

RESULTS

A total of 99 publications was retrieved during the period between January 2009 and November 2019. Top publication years included 2019 (n = 21), 2018 (n = 24), 2017 (n = 20), and 2016 (n = 13). The most common topic areas noted were related to dissemination of information (n = 17; 17.2%), knowledge exchange for physicians (n = 16; 16.2%), and social networking (n = 15; 15.2%).

CONCLUSION

The number of published articles on social media in these specialties has increased since 2009, signifying the widespread use of social media for professional networking, knowledge exchange, real-time communication with patients and colleagues, and patient care. Social media in the areas of dermatology, dermatopathology, and pathology has undergone social construction during the past decade because of changes in technology and ideologies surrounding the use of social media within medicine.

Social Media Usage and Development of Psychiatric Disorders in Childhood and Adolescence: A Review

Social media platforms, such as Facebook, Twitter, and Instagram, are now part of almost everyone's social life, especially for the newer generations. Children and teenagers grew up together with these Internet-based services, which have become an integral part of their personal and social life. However, as reported in various studies, psychological and psychiatric problems are sometimes associated with problematic usage of social media. The primary purpose of this review is to provide an overview of the cognitive, psychological, and social outcomes correlated with a problematic use of social media sites during the developmental stages, from age 10 to 19 years. With a specific focus on depression, anxiety, eating, and neurodevelopmental disorders, the review also discusses evidence related to genetic and neurobiological issues, together with the implications in clinical work and future directions under a multidisciplinary perspective. While the scientific community has made significant progress in enhancing our understanding of the impact of social media on teenagers' lives, more research integrating biological and environmental factors is required to fully elucidate the development of these disorders.

Global scientific trends on aflatoxin research during 1998-2017: a bibliometric and visualized study

BACKGROUND

Aflatoxins are fungal metabolites associated with contaminated food products. Intake of aflatoxin-contaminated food results in serious health hazards and even death. Therefore, the aim of this study is to evaluate the global scientific output of research of aflatoxin by using bibliometric techniques.

METHODS

This bibliometric study was conducted using Scopus database and classified the retrieved publications were classified from different aspects, including the countries/region of focus, journals, authors, institutes, citations, and content analysis to discover any hot and emerging topics. In addition, the bibliometric analysis of the international collaborative network and hot research topics were generated by VOSviewer© software version 1.6.10. The publication period was restricted in the search for two decades (1998-2017).

RESULTS

The search engine of the Scopus database found 9845 documents published in the field of aflatoxin. The USA is the top publishing source in the world (22.85%), followed by China (11.85%), India (9.32%), and Italy (5.25%). In earlier years, researchers focused on terms related to the topics of "sources and biosynthesis of aflatoxin", "health effects by aflatoxin", and "detoxification and treatment of aflatoxin". However, in recent years, researchers pay more attention to the topic of detection and quantification of aflatoxin.

CONCLUSIONS

The quantity of research in global aflatoxin has substantially increased over the past two decades. The evaluation of the historical status and development trend in aflatoxin scientific research can guide future research, and ultimately provide the basis for improving management procedures for governmental decisions, healthcare, industries, and educational institutions.

Global research trends in microbiome-gut-brain axis during 2009-2018: a bibliometric and visualized study

BACKGROUND

The pathways and mechanism by which associations between the gut microbiome and the brain, termed the microbiome-gut-brain axis (MGBA), are manifest but remain to be fully elucidated. This study aims to use bibliometric analysis to estimate the global activity within this rapidly developing field and to identify particular areas of focus that are of current relevance to the MGBA during the last decade (2009-2018).

METHODS

The current study uses the Scopus for data collection. We used the key terms "microbiome-gut-brain axis" and its synonyms because we are concerned with MGBA per se as a new concept in research rather than related topics. A VOSviewer version 1.6.11 was used to visualize collaboration pattern between countries and authors, and evolving research topics by analysis of the term co-occurrence in the title and abstract of publications.

RESULTS

Between 2009 and 2018, there were 51,504 published documents related to the microbiome, including 1713 articles related to the MGBA: 829 (48.4%) original articles, 658(38.4%) reviews, and 226 (13.2%) other articles such as notes, editorials or letters. The USA took the first place with 385 appearances, followed by Ireland (n = 161), China (n = 155), and Canada (n = 144).The overall citation h-index was 106, and the countries with the highest h-index values were the USA (69), Ireland (58), and Canada (43). The cluster analysis demonstrated that the dominant fields of the MGBA include four clusters with four research directions: "modeling MGBA in animal systems", "interplay between the gut microbiota and the immune system", "irritable bowel syndrome related to gut microbiota", and "neurodegenerative diseases related to gut microbiota".

CONCLUSIONS

This study demonstrates that the research on the MGBA has been becoming progressively more extensive at global level over the past 10 years. Overall, our study found that a large amount of work on MGBA focused on immunomodulation, irritable bowel syndrome, and neurodevelopmental disorders. Despite considerable progress illustrating the communication between the gut microbiome and the brain over the past 10 years, many issues remain about their relevance for therapeutic intervention of many diseases.

Collaborative networks and thematic trends of research on the application of complementary and alternative medicine in cancer patients: A bibliometric analysis

BACKGROUND

and purpose: Complementary and Alternative Medicine(CAM) has been greatly used in cancer patients. This research aimed to explore the research priorities of CAM for cancer patient's treatment.

METHODS

Web of Science(WoS), HistCite, BibExcel, GunnMap and VOSviewer were used to extract and visualize information.

RESULTS

2768 articles published in 789 journals were indexed in the WoS from 1989 to 2018. The USA(n = 1009) and Technion-Israel Institute Technology(n = 58) were the most prolific country and institution, respectively. Keywords co-occurrence analysis indicated that the research hotspots around the world formed five clusters, so did the author co-citation analysis. The research priorities of the top-five countries, the top-three prolific authors and the co-citation core authors were also discussed, which reveals the differences and similarities among them.

CONCLUSION

This study delineates a framework for better understanding the situational use of CAM in cancer patients, which could help health care workers to prioritize and organize future research.

Global output of research on the health of international migrant workers from 2000 to 2017

BACKGROUND

Approximately 150 million international migrant workers work under conditions that increase their risk of illness and injuries. The current study aimed to assess and analyze the global output of research on the health of international migrant workers to promote national and international policies that could help improve the health of international migrant workers.

METHODS

A bibliometric methodology was implemented using Scopus database after retrieving documents relevant to the health of migrant workers during the study period from 2000 to 2017.

RESULTS

In total, 955 documents were retrieved. The mean number of authors per document was 4.5 while the mean number of citation per document was 10.2. The retrieved documents were mainly in health policy and systems (n = 452; 47.3%), infectious diseases (n = 252; 26.4%), and mental and psychosocial health (n = 239; 25.0%). The health of Latino migrant farmworkers represented the largest cluster of keywords. The USA led (n = 389; 40.7%) with regard to the number of publications followed by China (n = 86; 9.0%) and the UK (n = 66; 6.9%). Researchers from the USA and Spain dominated the field. There were limited international research collaboration and a limited number and size of research networks. The American Journal of Industrial Medicine was most active (7.1%; n = 68) in publishing documents on health of migrant workers while the Wake Forest University was the most active (10.9%; n = 104) institution in this topic.

CONCLUSION

The volume of global research output on the health of migrant workers was low. There was inadequate research on non-communicable diseases and maternal health of migrant workers. International research collaboration and the number of research networks were limited. Role of several world regions, particularly Arab region with 11% of international migrant workforce was also limited. There is an urgent need to prioritize research on migrant workers, especially female migrant workers in regions with low research contribution.

Research trends on human trafficking: a bibliometric analysis using Scopus database

BACKGROUND

Human trafficking is a crime against humanity. It is also a serious threat to global health and security. Globalization has made human trafficking an easier task for the criminal organizations. No data are available on the volume, research trends, and key players in this field. Therefore, the aim of this study was to assess the research activity and research trends on human trafficking.

METHODS

A bibliometric method was adopted. Literature published in academic journals indexed in Scopus database was retrieved. The study period was set from 2000 to 2017.

RESULTS

Two thousand forty-four documents were retrieved. The average number of authors per document was 1.9. Over one third (n = 771; 37.7%) of the retrieved documents were about sex trafficking, 616 (30.1%) were about labor trafficking/forced labor, 199 (9.7%) were about child trafficking, and 138 (6.8%) were about organ trafficking. One third (n = 707; 34.6%) of the documents were in health-related fields while 1526 (74.7%) were in social sciences and humanities. The USA ranked first (n = 735; 36.0%) regarding the number of published documents. Geographic distribution of the retrieved document showed that world regions with a high prevalence of human trafficking had the least research contribution. International research collaboration has a limited contribution to the retrieved literature. The Harvard University (USA) was the most active institution (n = 39; 1.9%). International Migration (n = 35; 1.7%) was the most active journal in publishing documents on HT. Documents published in Transplantation journal received the highest number of citations per document (25.5) and two of the most cited documents were about organ trafficking.

CONCLUSION

There was an under-representation of health-related literature on human trafficking. Literature on sex trafficking dominated the field of human trafficking. Research networks and research collaboration between the source and destination countries is important. Future research plans need to focus on health issues and on exploited/trafficked laborers.

Outdoor air pollution and respiratory health: a bibliometric analysis of publications in peer-reviewed journals (1900 - 2017)

BACKGROUND

Outdoor air pollution is a major threat to global public health that needs responsible participation of researchers at all levels. Assessing research output is an important step in highlighting national and international contribution and collaboration in a certain field. Therefore, the aim of this study was to analyze globally-published literature in outdoor air pollution - related respiratory health.

METHOD

Outdoor air pollution documents related to respiratory health were retrieved from Scopus database. The study period was up to 2017. Mapping of author keywords was carried out using VOSviewer 1.6.6.

RESULTS

Search query yielded 3635 documents with an h-index of 137. There was a dramatic increase in the number of publications in the last decade of the study period. The most frequently encountered author keywords were: air pollution (835 occurrences), asthma (502 occurrences), particulate matter (198 occurrences), and children (203 occurrences). The United States of America ranked first (1082; 29.8%) followed by the United Kingdom (279; 7.7%) and Italy (198; 5.4%). Annual research productivity stratified by income and population size indicated that China ranked first (22.2) followed by the USA (18.8). Analysis of regional distribution of publications indicated that the Mediterranean, African, and South-East Asia regions had the least contribution. Harvard University (92; 2.5%) was the most active institution/organization followed the US Environmental Protection Agency (89; 2.4%). International collaboration was restricted to three regions: Northern America, Europe, and Asia. The top ten preferred journals were in the field of environmental health and respiratory health. Environmental Health Perspective was the most preferred journal for publishing documents in outdoor pollution in relation to respiratory health.

CONCLUSION

Research on the impact of outdoor air pollution on respiratory health had accelerated lately and is receiving a lot of interest. Global research networks that include countries with high level of pollution and limited resources are highly needed to create public opinion in favor of minimizing outdoor air pollution and investing in green technologies.