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Despite the increasing number of data visualization authoring systems in recent years, it remains a challenge to simultaneously achieve high expressive power and ease of use in a single tool. In this paper we present SCImago Graphica, a no-code tool which allows the creation of complex visualizations by simple drag-and-drop interactions. Users bind...
Context in source publication
Context 1
... Grammel, Tory and Storey (2010) note, one of the common barriers in the data visualization process is the choice of which data variables answer the goals and questions that the user is trying to address. For this reason, after loading the dataset, a small chart with the distribution of each variable is displayed in the header of each column of the data table (Figure 6), helping the user to become familiar with the data. ...
Citations
... Scimago Graphica [8] which implements the Clauset-Newman-Moore algorithm [9], applicable to both weighted and unweighted graphs. ...
Background. Keyword co-occurrence analysis is a crucial tool for comprehending research trends, identifying relevant studies, and gaining insight into the connections between various concepts and topics. Objective. This study focuses on analyzing the co-occurrence of keywords using FP-growth algorithm and direct search methods. Materials and methods. The methodology involved extracting bibliometric data of Energies journal for 2023-2024 from MDPI publisher platform, keyword lemmatization and keyword co-occurrence estimation. Clustering and visualization were performed using Multidendrograms and Scimago Graphica software. Results. The results showed that the FP-growth algorithm can achieve a close match with the direct search results, which facilitates data preparation for clustering. In addition, finding the co-occurrence of three or more keywords significantly reduced the number of possible combinations, which allowed the identification of specific research topics. Conclusions. This study highlights the usefulness of the FP-growth algorithm in keyword analysis and provides insights into ways to refine search queries to abstract databases for the purpose of designing and writing literature and systematic reviews.
... Documents exported from the WoSCC Database were imported into CiteSpace 6.3.R1 (Chen 2004), VOSviewer 1.6.18 (van Eck and Waltman 2010), Scimago Graphica (Hassan-Montero et al. 2022), and Bibliometrix R Package software. Cite Space 6.3.R1 was used to analyze keyword cluster analysis and detect emerging keywords. ...
In recent years, spatial transcriptomics (ST) research has become a popular field of study and has shown great potential in medicine. However, there are few bibliometric analyses in this field. Thus, in this study, we aimed to find and analyze the frontiers and trends of this medical research field based on the available literature. A computerized search was applied to the WoSCC (Web of Science Core Collection) Database for literature published from 2006 to 2023. Complete records of all literature and cited references were extracted and screened. The bibliometric analysis and visualization were performed using CiteSpace, VOSviewer, Bibliometrix R Package software, and Scimago Graphica. A total of 1467 papers and reviews were included. The analysis revealed that the ST publication and citation results have shown a rapid upward trend over the last 3 years. Nature Communications and Nature were the most productive and most co-cited journals, respectively. In the comprehensive global collaborative network, the United States is the country with the most organizations and publications, followed closely by China and the United Kingdom. The author Joakim Lundeberg published the most cited paper, while Patrik L. Ståhl ranked first among co-cited authors. The hot topics in ST are tissue recognition, cancer, heterogeneity, immunotherapy, differentiation, and models. ST technologies have greatly contributed to in-depth research in medical fields such as oncology and neuroscience, opening up new possibilities for the diagnosis and treatment of diseases. Moreover, artificial intelligence and big data drive additional development in ST fields.
Graphical Abstract
Spatial transcriptomics (ST) technologies and application prospects. (1) Imaging-based approaches, including in situ sequencing (ISS)—where transcripts are amplified and sequenced in tissue—and ISH-based approaches—where imaging probes are sequentially hybridized in tissue. (2) NGS-based techniques, in which positional information is encoded onto transcripts prior to NGS sequencing.
... The clustering of EEE Terms was performed using the following programs: VOSviewer [11] which implements the Leiden algorithm [12] for unweighted graphs and Scimago Graphica [13] which implements the Clauset-Newman-Moore algorithm [14], applicable to both weighted and unweighted graphs. ...
Relevance of the subject. Keyword selection is critical to finding relevant literature and requires justification for querying abstract databases and other sources to ensure accuracy and completeness. The topic of Energy Systems is of great importance due to the introduction of renewable energy sources, modern control methods, and complex energy systems during the energy transition. The aim of this study. The goal of this paper was to identify keywords that would be useful to subject matter experts when collecting literature on a particular topic, based on entries in the IEEE Terms field. Data. Bibliometric data were exported from the IEEE Xplore platform in the following order: for 2019-2023, 2000 records sorted by relevance, for 2024, 1680 records current as of April 11, 2024. Analytical methods applied and software used. VOSviewer, Scimago Graphica implementing the Clauset-Newman-Moore algorithm and agglomerative hierarchical clustering method implemented in Multidendrograms. Results. The main issues of the Energy Systems topic are presented in tabular and graphical formats. The fpgrowth utility offers flexible data preparation options, which makes it worthwhile to conduct a separate study to analyze the score of co-occurrence terms given by its algorithm.
... Additionally, Scimago Graphica 1.0.36 was also employed for the country analysis. 23,24 Lastly, authors, journals, references, and keywords were explored using CiteSpace 6.2.R4. 25,26 ...
... The University of California San Francisco (42) in the USA ranked first, and its ACI (48.1) and H-index (25) were also among the highest. It was followed by several Chinese institutions followed, such as Sun Yat-sen University (26), Shanghai Jiao Tong University (24), and Peking University (21). It is worthwhile mentioning that while Nanjing University did not publish many articles (14), it ranked first in ACI (50.3), signifying that the documents produced by this institution were published earlier or of higher quality. ...
Purpose
As a common male disease, erectile dysfunction (ED) seriously affects the physical and mental health of patients. In recent years, studies have continued to point out the great potential of stem cell therapy (SCT) in the treatment of ED. The purpose of this study is to comprehensively analyze the research of SCT for ED and understand the development trends and research frontiers in this field.
Methods
Publications regarding SCT and ED were retrieved and collected from the Web of Science Core Collection. CiteSpace and VOSviewer software were then utilized for bibliometric and visualization analysis.
Results
A total of 524 publications were eventually included in this study. The annual number of publications in this field was increasing year by year. China and the USA were the two most productive countries. Lin GT, Lue TF and Lin CS, and the University of California San Francisco where they worked were the most productive research group and institution, respectively. The journal with the largest number of publications was The Journal of Sexual Medicine, and the following were mostly professional journals of urology and andrology. Diabetes mellitus-induced ED and cavernous nerve injury-related ED were the two most commonly constructed models of ED in studies. Concerning the types of stem cells, mesenchymal stem cells derived from adipose and bone marrow were most frequently used. Moreover, future research would mainly focus on exosomes, tissue engineering technology, extracorporeal shockwave therapy, and clinical translation.
Conclusion
The research of SCT for ED will receive increasing global attention in the future. Our study provided bibliometric and visualization analysis of published literature, helping researchers understand the global landscape and frontiers in this field. More preclinical and clinical studies should be conducted to more deeply explore the underlying mechanisms of treatment and promote clinical translation.
... Similarly, Scimago Graphica is a specialized tool designed for both the professional visualization of data and the exploratory analysis that precedes it. This tool is adept at transforming intricate data into clear, communicative visual formats [24]. The utility of these tools extends beyond mere data presentation, which provides researchers with the means to delve deeper into the structural fabric of academic networks, enhancing the comprehension and dissemination of bibliometric data. ...
Healthy agricultural ecosystems underpin both environmental and societal sustainability. In January 2024, Argentina, Egypt, Ethiopia, Iran, Saudi Arabia, and the United Arab Emirates officially joined BRICS, expanding their crucial role in shaping global economies and sustainable development. To fully assess the current state of agroecosystem research in BRICS+ nations and gain an in-depth understanding of their contributions to the environmental domain, this study systematically examined the contributions of BRICS+ nations to agroecosystems using bibliometric methods. A total of 392 papers from the 2023 Web of Science database were comprehensively analyzed using tools of VOSviewer and Scimago Graphica. The criteria for data collection were the selection of English-language articles on agroecosystems from BRICS+ nations published in 2023. The key findings included enriching research by Chinese scholars, the highly cited article by Liu et al., the notable role of the China Agricultural University, College of Resources and Environmental Sciences, and the impact of Science of the Total Environment and Elsevier. The main research topics covered economic growth, agroecosystem management, healthy soil element cycling, and plant studies. Hot keywords included soil, rhizosphere, rice, fertilization, and use efficiency. This study provided a comprehensive and detailed framework for future research and contributed to the global sustainable development agenda.
... JCR classifications and impact factors (IFs) for journals in 2023 were obtained, as well as H-indexes for countries, institutions, and researchers through the Web of Science database. The "Bibliometrix" package of R software was used for data analysis and graphical plotting, Scimago Graphica (Hassan-Montero et al., 2022) ...
Non-motor symptoms are prevalent among individuals with Parkinson’s disease (PD) and seriously affect patient quality of life, even more so than motor symptoms. In the past decade, an increasing number of studies have investigated non-motor symptoms in PD. The present study aimed to comprehensively analyze the global literature, trends, and hotspots of research investigating non-motor symptoms in PD through bibliometric methods. Studies addressing non-motor symptoms in the Web of Science Core Collection (WoSCC), published between January 2013 and December 2022, were retrieved. Bibliometric methods, including the R package “Bibliometrix,” VOS viewer, and CiteSpace software, were used to investigate and visualize parameters, including yearly publications, country/region, institution, and authors, to collate and quantify information. Analysis of keywords and co-cited references explored trends and hotspots. There was a significant increase in the number of publications addressing the non-motor symptoms of PD, with a total of 3,521 articles retrieved. The United States was ranked first in terms of publications (n = 763) and citations (n = 11,269), maintaining its leadership position among all countries. King’s College London (United Kingdom) was the most active institution among all publications (n = 133) and K Ray Chaudhuri was the author with the most publications (n = 131). Parkinsonism & Related Disorders published the most articles, while Movement Disorders was the most cited journal. Reference explosions have shown that early diagnosis, biomarkers, novel magnetic resonance imaging techniques, and deep brain stimulation have become research “hotspots” in recent years. Keyword clustering revealed that alpha-synuclein is the largest cluster for PD. The keyword heatmap revealed that non-motor symptoms appeared most frequently (n = 1,104), followed by quality of life (n = 502), dementia (n = 403), and depression (n = 397). Results of the present study provide an objective, comprehensive, and systematic analysis of these publications, and identifies trends and “hot” developments in this field of research. This work will inform investigators worldwide to help them conduct further research and develop new therapies.
... VOSviewer as a tool for the comprehensive examination of clustering solutions utilizing visualization (Hassan-Montero et al., 2022;Vasudevan et al., 2016). Scimago Graphica is a specialized tool created to facilitate data visualization and exploratory research (van Eck & Waltman, 2017). ...
... Additionally, they enhance academic discussion and provide opportunities for novel avenues of research (Vasudevan et al., 2016). Recently, researchers have started to use big data analytics tools often, including but not limited to VOSviewer, Scimago Graphica, and CiteSpace, to explore scholarly research trends, focus themes, and research hotspots (Vasudevan et al., 2016;Hassan-Montero et al., 2022;Pan et al., 2017). ...
... It can generate maps of coauthorship, co-occurrence, citation, bibliographic coupling, and co-citation. This tool supports indepth analysis of clustering solutions in a visual manner, providing researchers with an intuitive presentation of data (Vasudevan et al., 2016;Hassan-Montero et al., 2022). Scimago Graphica is also a professional visualization tool designed not only for the visual communication of data but also for exploratory analysis (Van Eck, 2017;Li, 2023). ...
... VOSviewer and R programming language were used for analyzing and visualizing this dataset, particularly "bibiliometrix" package in R, an open-source program that is known for its languagebased capabilities and statistical algorithms. Regarding the geographic area, data was analyzed using Scimago Graphica (Hassan-Montero et al., 2022). VOSviewer has been extensively employed as a key technique for constructing relationships in bibliometric data and providing visual representations of the current status and groupings within data (Van Eck and Waltman, 2010;Van Eck and Waltman, 2017;Li et al., 2021). ...
The aim of this study was to gain an understanding of the evolving landscape of research on the intricate relationship between COVID-19 and livelihoods, while also identifying research gaps and directions. To achieve this aim, a systematic review methodology was adopted, and metadata was developed using VOSviewer and R software. A total of 1988 relevant articles on COVID-19 and livelihoods were collected since the outbreak of the pandemic. However, after applying exclusion criteria and conducting thorough reviews, only 1503 articles were deemed suitable for analysis. The data was analyzed in relation to three phases of COVID-19 impacts: the early stage of COVID, the middle stages during the outbreak, and the post-recovery phase. We examined the distribution of research disciplines, regions, authors, institutions, and keywords across these phases. The findings revealed that coping strategies, food security, public health, mental health, social vulnerability, and regional differences were extensively researched areas in relation to COVID-19 and livelihoods. It was found that the United States had the highest volume of research on COVID-19 and livelihoods. Additionally, the top 1.28% of journals published 18.76% of the literature, with a predominantly focused on the environmental category. This study offers valuable perspectives into the vulnerability caused by the COVID-19 pandemic and its impacts on livelihoods. Furthermore, it provides lessons learned, outlines potential future research pathways to understand the dynamics between environmental factors (like COVID-19) and livelihood stress, and includes a comparison of traditional livelihoods research.
... Visualization can be created with simple drag-and-drop operations. [16] Similar to VOSviewer, CiteSpace is a tool for comprehensive literature and visualization analysis of development trends and is used in scientific and technical fields such as medicine, agriculture, and geography. CiteSpace is particularly useful for depicting the evolutionary trends of each research topic over time and for understanding when hotspots and turning points occur in a particular research field. ...
... Particularly, we extracted Kampo medicines that have received much attention in recent years, indicating recent hotspots and potential new clinical applications in the future. Kampo medicine 350 246 20 Ghrelin 13 18 2 Herbal medicine 72 75 21 Rat 13 18 3 Yokukansan 41 46 22 Yokukansankachinpihange 12 15 4 Ninjinyoeito 38 44 23 Peripheral neuropathy 12 13 5 Daikenchuto 38 27 24 Oxidative stress 12 11 6 Hochuekkito 24 20 25 Acupuncture 12 4 7 Rikkunshito 23 21 26 Frailty 11 12 8 Apoptosis 20 12 27 Pharmacokinetics 11 12 9 Hangeshashinto 19 25 28 Japan 11 11 10 Alzheimer 19 18 29 Shakuyakukanzoto 11 10 11 Goshajinkigan 18 18 30 Bofutsushosan 11 7 12 Inflammation 17 20 31 Depression 10 17 13 Glycyrrhizae radix 17 16 ...
Background
Kampo medicine is a traditional medicine that originated in ancient China and has since developed as a uniquely Japanese medicine. Although Kampo medicine is one of Japan’s most important therapeutic modalities and numerous papers have been published recently, information on current hotspots and trends in Kampo research is lacking. This bibliometric analysis of Kampo medicine surveyed the latest research hotspots and trends.
Methods
Articles on Kampo medicine were retrieved from the Web of Science Core Collection. We used medical subject headings related to Kampo medicine and searched for publications from 2013 to 2022. The retrieved articles were analyzed for countries, authors, journals, references, and keywords related to Kampo medicine using CiteSpace, VOSviewer, and SCImago Graphica.
Results
A total of 1170 articles were included. The number of Kampo medicine-related publications and citations has recently increased, mainly from Japan. Author Keiko Ogawa-Ochiai published the most papers (40 papers), while Yoshio Kase had the highest frequency at 663 citations. Among the co-cited authors, Toru Kono was the most cited and had the highest total link strength. The journal with the most submissions was Evidence-based Complementary and Alternative Medicine. A comprehensive keyword and literature analysis revealed the following research hotspots: “Yokukansan and behavioral and psychological symptoms of dementia,” “Ninjinyoeito and geriatric care,” “Daikenchuto and postoperative gastrointestinal cancer,” and “Rikkunshito and functional dyspepsia.” We also identified a new research frontier by identifying an association between hochuekkito and COVID-19.
Conclusions
Our findings reveal trends in Kampo medicine research, with specific hotspots and the authors and publications with the largest research impact. Collecting a large volume of literature data, analyzing the impact of studies, and identifying research hotspots, as in this study, will provide researchers with future directions for Kampo research.
