Bibliometric indicators to evaluate scientific activity

What is known about osteoporosis research in Latin America?: A bibliometric analysis of three decades

Identifying the gaps in scientific production in a topic allows directing research in order to make better public investment decisions. Bibliometric data on osteoporosis in Latin America are very limited and unclear and, given the impact of this disease in this region, it is relevant to analyze the latest trends in the subject. The study approach was quantitative, observational-descriptive, cross-sectional. Data were collected from journals indexed in Scopus between 1990 and 2019, using a search strategy that included Medical Subject Headings terms for "Osteoporosis" and other related terms, as well as VOSviewer software to create cooperative and co-occurrence word maps. 3261 documents were analyzed, with an annual scientific production rate of 5% (163 documents), where 73.9% were original articles. The countries with the highest scientific production in osteoporosis were Brazil (55.2%) and Argentina (18%). Extra-regional cooperation was mainly with the United States (16.35%) and Spain (5.18%). Six of the 10 most productive countries had their own government agencies as the main funders. The National Council for Scientific and Technological Development was the institution that funded the most (n = 194). The term "osteoporosis" together with the terms "bone mineral density," "fractures," and "menopause" were the most frequently addressed subjects. Latin American scientific production in osteoporosis has shown a significant increase. However, in the last 3 years it has shown a slight reduction. Greater intraregional collaboration involving universities, institutions and health societies is needed.

Fault diagnosis of photovoltaic systems using artificial intelligence: A bibliometric approach

Conventional fault detection methods in photovoltaic systems face limitations when dealing with emerging monitoring systems that produce vast amounts of high-dimensional data across various domains. Accordingly, great interest appears within the international scientific community for the application of artificial intelligence methods, which are seen as a highly promising solution for effectively managing large datasets for detecting faults. In this review, more than 620 papers published since 2010 on artificial intelligence methods for detecting faults in photovoltaic systems are analyzed. To extract major research trends, in particular to detect most promising algorithms and approaches overcoming excessive time calculations, a conventional bibliographic survey would have been extremely difficult to complete. That is why this study proposes to carry out a review with an innovative approach based on a statistical method named Bibliometric and a Expert qualitative content analysis. This methodology consists of three stages. First, a collection of data from databases is carried out with all precautions to achieve a large, robust, high-quality database. Second, multiple bibliometric indicators are chosen based on the objectives to be achieved and analyzed to assess their real impact, such as the quantity and nature of publications, collaborative connections among organizations, researchers, and countries or most cited articles. Finally, the Expert qualitative content analysis carried out by experts identifies the current and emerging research topics that have the greatest impact on fault detection in photovoltaic systems using artificial intelligence.

Factors associated with scientific production citations in dentistry: Zero-inflated negative binomial regression and hurdle modelling

Background: The global scientific literature in dentistry has shown important advances in the field, with major contributions ranging from the analysis of the basic epidemiological aspects of prevention to specialised results in the field of dental treatments. The present investigation aimed to analyse the current state of the scientific literature on dentistry hosted in the Web of Science database. Methods: The methodology included two phases in the analysis of articles and indexed reviews in all thematic areas. During the first phase, the following variables were analysed: scientific production by the publisher, the evolution of scientific output published by publishers, the factors associated with the impact of scientific production, and the modelling of the impact of scientific production on dentistry. During the second phase, associations, evolutions, and trends in the use of keywords in the scientific literature in dentistry were analysed. Results: The first phase shows that scientific production in dentistry will increase between 2010 and 2021, reaching 12,126 articles in 2021. Publishers such as Wiley and Elsevier stand out, but Quintessence Publishing has the most citations. Factors such as pages, authors, and references influence the number of citations. Phase 2 analyzes trends in the dental literature using the WoS database. Topics such as "dental education", "pediatric dentistry", and "pandemic" stand out. The intersection of technology and dentistry and the importance of evidence-based education are highlighted. Conclusions: In conclusion, the study shows that the most studied topics include the association of dental education and the curriculum, the association of pediatric dentistry with oral health, and dental care. The findings show that more recently emphasised topics also stand out, such as evidence-based dentistry, the COVID-19 pandemic, infection control, and endodontics, as well as the need for future research to expand current knowledge based on emerging topics in the scientific literature on dentistry.

Worldwide research on the health effects of bovine milk containing A1 and A2 β-casein: Unraveling the current scenario and future trends through bibliometrics and text mining

The possible adverse effect of consuming bovine milk with A1 β-casein (but not with A2 β-casein) on health aspects due to the release of β-casomorphin-7 (BCM-7) is currently under debate. The aim of this study was to perform a bibliometric analysis of studies extracted from Scopus to explore the relationship between BCM-7, A1 or A2 bovine milk with different aspects of health. Over time, several research groups were formed that are no longer active and although some authors have returned to the field of study, they have focused their efforts mainly on conducting reviews that show the same imprecise conclusions due to the few original articles. Research is concentrated in Europe and Asia, where New Zealand, China and Germany are the countries with the most publications, records and citations on the subject, respectively. On the other hand, no country in Africa or South America has scientific production, which opens the possibility of building collaborations between countries and exploring areas that lack scientific studies. Based on conflicting information from primarily in vitro and animal studies, and limited clinical trials with poor designs, A1 milk presents pro-inflammatory and oxidative activity, but the evidence is insufficient to associate its consumption with negative health effects. However, A2 milk may be better tolerated by the digestive system of some individuals, suggesting its possible modulating role in the intestinal microbiota. Stronger scientific evidence is needed to reach a consensus on whether the presence of β-casein A1 can significantly negatively affect health. The information shown will allow a better understanding of the subject and consumers will be able to make their own decisions regarding A1 or A2 milk.

Publications on COVID-19 in radiology journals in 2020 and 2021: bibliometric citation and co-citation network analysis

OBJECTIVES

The pandemic caused by SARS-CoV-2 has led to the rapid publication of numerous radiology articles, primarily focused on disease diagnosis. The objective of this study is to analyze the intellectual structure of radiology research on COVID-19 using a citation and co-citation analysis.

METHODS

We identified all documents about COVID-19 published in radiology journals included in the Web of Science in the period 2020-2021, conducting a citation analysis. Then we identified all bibliographic references that were cited by these documents, generating a co-citation matrix that was used to perform a co-citation network.

RESULTS

Of the 3418 documents indexed in WoS, 857 were initially "Early Access," 2223 had citations, 393 had more than 20 citations, and 83 had more than 100 citations. The USA had the highest number of publications (32.62%) and China had the highest rate of funded studies (45.38%). The three authors with the most publications were affiliated with Italian institutions, while the five most cited authors were Chinese. A total of 647 publications were co-cited at least 12 times and were published in 206 different journals, with 49% of the documents found in radiology journals. The institutions with the greatest presence among these co-cited articles were Chinese and American.

CONCLUSION

This co-citation analysis is the first to focus exclusively on radiology articles on COVID-19. Our study confirms the existence of interrelated thematic clusters with different specific weights.

KEY POINTS

• As the pandemic caused by SARS-Cov-2 has led to the rapid publication of numerous radiology studies in a short time period, a bibliometric review based on citation and co-citation analysis has been conducted. • The co-citation analysis supported the identification of key themes in the study of COVID-19 in radiology publications. • Many of the most co-cited articles belong to a heterogeneous group of publications, with authors from countries that are far apart and even from different disciplines.

A framework for assessing a country’s scientific productivity based on published articles by scientists affiliated with that country

Purpose

This study aims to propose a framework to assess the scientific productivity performance of a country in terms of its international visibility and national capabilities.

Design/methodology/approach

In a given subject, all publications with at least one author from the target country as well as the received citations are counted as quantitative and qualitative indicators, respectively. The ratios of these counts to their expected values, which are estimated according to the global gross domestic product (GDP) and population percentages of the country are used to assess international visibility. Also, in certain publications, all authors are from the target country, therefore, their publication and citation proportions are provided as metrics of national competence.

Findings

As a sample, this study analyzes Turkey’s performance in “Business, Economics & Management” and “Engineering & Computer Science” in the top 20 publication venues of the regarding subject areas according to Google Scholar Metrics taxonomy. This study shows that in some subfields, Turkey’s performance is 2.73–6 times as per expectations. This study also provides the international visibility assessment of all countries for the past two decades in “Theoretical Computer Science” which shows that Israel is a leading country based on this framework.

Originality/value

This paper introduces new indices to evaluate a country’s national competence and international visibility on a subject field based on the number of published papers affiliated with the country and their citations by considering the global GDP and population share.

Scars of COVID-19: A bibliometric analysis of post-COVID-19 fibrosis

Background

The coronavirus disease 2019 (COVID-19) becomes a worldwide public health threat. Increasing evidence proves that COVID-19-induced acute injuries could be reversed by a couple of therapies. After that, post-COVID-19 fibrosis (PCF), a sequela of "Long COVID," earns rapidly emerging concerns. PCF is associated with deteriorative lung function and worse quality of life. But the process of PCF remains speculative. Therefore, we aim to conduct a bibliometric analysis to explore the overall structure, hotspots, and trend topics of PCF.

Materials and methods

A comprehensive search was performed in the Web of Science core database to collect literature on PCF. Search syntax included COVID-19 relevant terms: "COVID 19," "COVID-19 Virus Disease," "COVID-19 Virus Infection," "Coronavirus Disease-19," "2019 Novel Coronavirus Disease," "2019 Novel Coronavirus Infection," "SARS Coronavirus 2 Infection," "COVID-19 Pandemic," "Coronavirus," "2019-nCoV," and "SARS-CoV-2"; and fibrosis relevant terms: "Fibrosis," "Fibroses," and "Cirrhosis." Articles in English were included. Totally 1,088 publications were enrolled. Searching results were subsequentially exported and collected for the bibliometric analysis. National, organizational, and individual level data were analyzed and visualized through biblioshiny package in the R, VOSviewer software, the CiteSpace software, and the Graphical Clustering Toolkit (gCLUTO) software, respectively.

Results

The intrinsic structure and development in the field of PCF were investigated in the present bibliometric analysis. The topmost keywords were "COVID-19" (occurrences, 636) surrounded by "SARS-CoV-2" (occurrences, 242), "coronavirus" (occurrences, 123), "fibrosis" (occurrences, 120), and "pneumonia" (occurrences, 94). The epidemiology, physiopathology, diagnosis, and therapy of PCF were extensively studied. After this, based on dynamic analysis of keywords, hot topics sharply changed from "Wuhan," "inflammation," and "cytokine storm" to "quality of life" and "infection" through burst detection; from "acute respiratory syndrome," "cystic-fibrosis" and "fibrosis" to "infection," "COVID-19," "quality-of-life" through thematic evolution; from "enzyme" to "post COVID." Similarly, co-cited references analysis showed that topics of references with most citations shift from "pulmonary pathology" (cluster 0) to "COVID-19 vaccination" (cluster 6). Additionally, the overview of contributors, impact, and collaboration was revealed. Summarily, the USA stood out as the most prolific, influential, and collaborative country. The Udice French Research University, Imperial College London, Harvard University, and the University of Washington represented the largest volume of publications, citations, H-index, and co-authorships, respectively. Dana Albon was the most productive and cited author with the strongest co-authorship link strength. Journal of Cystic Fibrosis topped the list of prolific and influential journals.

Conclusion

Outcomes gained from this study assisted professionals in better realizing PCF and would guide future practices. Epidemiology, pathogenesis, and therapeutics were study hotspots in the early phase of PCF research. As the spread of the COVID-19 pandemic and progress in this field, recent attention shifted to the quality of life of patients and post-COVID comorbidities. Nevertheless, COVID-19 relevant infection and vaccination were speculated to be research trends with current and future interest. International cooperation as well as in-depth laboratory experiments were encouraged to promote further explorations in the field of PCF.

Use of Natural and Cultural Resources by Tourism as a Strategy for Regional Development: Bibliometric Analysis

Territories throughout different continents have a wide variety of natural and cultural resources, defined by the dynamics of spatiality, temporality, and functionality that have been generated by the human groups settled in these spaces. These resources have become an object of study of great interest since they constitute the initial sources for the definition of the tourism potential of destinations, as well as contributing to the generation of new tourism activities and modalities for those already consolidated. Although these resources were initially used as objects of exploitation, with the passage of time the dynamics have changed to the use of these resources, focusing on the foundation of the pillars of sustainability, a condition that implies practices of environmental valuation in situ, the recognition of the cultural heritage of the territories and the valuation of the interaction between culture–nature–human beings. The objective of this research is to identify the existing scientific production in which the relationship between the tourist exploitation of natural and cultural resources and regional development is explored. Bibliometric analysis based on the guidelines of the PRISMA method was used. The international databases considered were Web of Science and Scopus. The analysis was complemented with an overlap analysis to establish the relationship of information between the WoS and Scopus databases. A total of 507 documents on the subject were identified, which provided a preliminary X-ray that will allow future research work to be focused on this line of re-search. The results allowed us to observe that there is little literature on the relationship between the use of natural and cultural resources for tourism and the regional development of the territory, both from an economic and social point of view.