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Recommendations from paediatric dentistry associations of the Americas on breastfeeding and sugar consumption and oral hygiene in infants for the prevention of dental caries: a bibliometric review

The internet provides a plethora of information, including concerning health issues. The aim of this paper is to identify online recommendations of paediatric dentistry associations of the Americas (PDAAs) regarding breastfeeding practices, weaning, sugar introduction and initiating oral hygiene. Websites of PDAAs were access to record recommendations/questions (Q) relevant to early childhood that specifically covered issues about exclusive breastfeeding‐Q1, indications of artificial breastfeeding‐Q2, when and how should indicate weaning‐Q3 and Q4, respectively, association of breast milk and dental caries‐Q5, the period recommended for starting oral hygiene and how to go about introducing it‐Q6 and Q7, respectively, and guidance on the introduction of sugar‐Q8. Similarity/dissimilarity frequencies between the associations (Euclidean distances) were calculated. From 35 countries on the two American continents, 21 associations were affiliated with the International Association of Paediatric Dentistry and/or the Latin American Pediatric Dentistry Association, while eight did not have websites. Higher(p<0.05) dissimilarities for Q6(68.2%), Q7(72.7%) and Q8(62.1%) were observed. Results were similar for Q1 and Q5(p>0.05). No association mentioned Q3 or Q4 responses, while Q7 was the most frequently discussed issue. Not all of the investigated issues are mentioned on websites of PDAAs, potentially stymieing efforts by both the layperson and health professional to gather information.

Author(s): Aline Gomes Silva Cerqueira, Marcela Baraúna Magno, Fernanda Barja‐Fidalgo, José Vicente Gomila, Lucianne Cople Maia, Andrea Fonseca‐Gonçalves
Organization(s): Universidade Federal do Rio de Janeiro, Rio de Janeiro State University, Polytechnic University of Valencia
Source: International Journal of Paediatric Dentistry
Year: 2020

Bibliometric analysis of advanced oxidation processes (AOPs) in wastewater treatment: global and Ibero-American research trends

Advanced oxidation processes (AOPs) constitute a developing area of particular interest for researchers in different fields due to their broad range of applications. However, there are few studies dedicated to the bibliometric analysis of AOPs. Hence, a systematic literature review of research publications (research articles, review articles, and book chapters) from 1980 to 2018 was carried out to visualize and evaluate research trends on AOPs around the world and, especially in Ibero-America (IA), on the field of wastewater treatment. Using the most extensive databases in literature search, Scopus and Web of Science (WoS), which encompass 95% of the publications in the world, a total of 18,751 records were retrieved by limiting the search results to words associated with AOPs in the titles, keyword, and abstracts. Raw data were manually organized and filtered, standardizing authors and institution names, publication titles, and keywords for the purpose of eliminating double-counted entries. Similarly, homonymous authors and institutions were identified for all records retrieved. The bibliometric dataset was processed using the VantagePoint software. The research trends visualized about AOPs were as follows: number of publications per triennium, publications by country, participation by continent, most important journals and authors, most referenced institutions, global network of co-authors, and keywords network visualization, highlighting the Ibero-American contribution to global research.

Author(s): Iván F. Macías-Quiroga, Paula A. Henao-Aguirre, Alexander Marín-Flórez, Sandra M. Arredondo-López & Nancy R. Sanabria-González
Organization(s): Universidad Nacional de Colombia
Source: Environmental Science and Pollution Research
Year: 2020


Technology foresight allows an organization to systematically keep track of emerging technologies to be adopted in its technology development plan. In Thailand, the National Institute for Emergency Medicine (NIEM) develops the nation-wide emergency service system. While foresight methods such as scenario planning and technology roadmapping are already deployed at NIEM, the experts are unable to stay up to date on emerging technologies around the globe and face challenges to incorporate them into the
emergency service in a timely fashion. This research tackles the issue by developing a framework that integrates Emerging Technology Identification (ETI) into Scenario-based Technology Roadmapping (SB-TRM) for Technology Foresight. To ensure its robustness, Action Research methodology together with methods of systematic literature review, workshop, and semi-structured interview to deploy the proposed framework at NIEM, evaluate outcome, and specify learning with degrees of validity and confidence that the novel framework would be applicable in similar settings. The integrated framework with the integration of ETI into SB-TRM was successfully implemented by using an accompanied manual prepared in accordance with the European Commission’s Good Foresight Standard and validated by Delphi panel experts prior to action taking. The practical findings from the four workshops indicated the transferability for NIEM to adopt the novel framework for future foresight activities. The research provided an evidence that the implementation of ETI improved the SB-TRM process by providing experts insights on emerging technologies and allowing them to anticipate future outcomes in forms of descripted scenarios and technology roadmap which reduced the complexity compared to technology roadmapping or scenario planning alone. The research had two practical implications: NIEM and other technologybased organizations can readily apply the validated manual and foresight-related
collaboration among the public, private, and academic institutions was improved. The research also had major social implication as Thailand’s ambulance service and its development policy were effectively updated on the technology state-of-the-art. The action research elucidated the integrated framework and the guidelines as the new knowledge in the theory of foresight for practitioners to adopt for foresight practice in general. The research had a limitation due to a single case in the national level was studied. Future researches could benefit from exploring additional cases in the private sector.

Doctoral Candidate: Nonthapat Pulsiri
University: The Institute for Knowledge and Innovation South-East Asia (IKI-SEA), Graduate School of Bangkok University
Degree Program: Doctor of Philosophy in Knowledge Management and Innovation Management
Year: 2020

Lifestyle risk behaviors of university students: a bibliometric analysis (Full-Text)

Examine the evolution of publications on the lifestyle risk behaviors of university students. Methods: Bibliometric research was carried out on using 9011  articles retrieved from the SciELO and Web of Science database. The analyses included, the trend of the production, the most productive countries, journals, institutions, and the relevant information was extracted based on frequency of co-occurrence of keywords between 2009 and 2019 using the bibliometric software, namely VantagePoint, VOSviewer, NetDraw and UCINET. Results: The study revealed a significant concentration of publications between 2014 and 2018 in North American countries, especially the United States. However, the most productive institution was the University of São Paulo (Brazil). Stress, physical inactivity, obesity, and smoking were the risk behaviors most used as keywords in the articles, and these have a strong relationship with other keywords subsets related to mental health, forms of treatment, the study population and lifestyle behaviors. Conclusion: The scientific map of lifestyle risk behaviors among university students was supported by exhaustive research. It was possible by the establishment of research networks between the various centers of knowledge production, especially with the American researchers. 4 Full-Text avialable at PDF button

Author(s): Tassia Teles Santana de Macedo, Debra Sheets, Wilton Nascimento Figueredo, Michaela Eickemberg, Jules Ramon Brito Teixeira, Fernanda Carneiro Mussi
Organization(s): Escola Bahiana de Medicina e Saúde Pública, University of Victoria, Universidade Estadual de Feira de Santana
Source: Research, Society and Development
Year: 2020

A Historical and Bibliometric Analysis of the Development of Agile (Book Chapter)

This chapter starts with a brief history of software development from a summary of traditional approaches and presents the conditions that led to agile approaches such as product complexity, shortened life cycle of the market and eventually to the widespread acceptance of Scrum. The authors then compare the narrative to the bibliometric analysis of abstract records that can be found in the Web of Science database. They parse the terms from the abstract records to identify research trends over time and map the underlying structure of agile research. Finally, they consider the future of Agile-Scrum in light of the current pandemic.

Author(s): Cherie C. Trumbach, Kenneth R. Walsh, Sathiadev Mahesh
Organization(s): University of New Orleans
Source: Agile Scrum Implementation and Its Long-Term Impact on ORganizations
Year: 2021

Profiling and predicting the problem-solving patterns in China’s research systems: A methodology of intelligent bibliometrics and empirical insights (FULL-TEXT)

Uncovering the driving forces, strategic landscapes, and evolutionary mechanisms of China’s research systems is attracting rising interest around the globe. One such interest is to understand the problem-solving patterns in China’s research systems now and in the future. Targeting a set of high-quality research articles published by Chinese researchers between 2009 and 2018, and indexed in the Essential Science Indicators database, we developed an intelligent bibliometrics-based methodology for identifying the problem-solving patterns from scientific documents. Specifically, science overlay maps incorporating link prediction were used to profile China’s disciplinary interactions and predict potential cross-disciplinary innovation at a macro level. We proposed a function incorporating word embedding techniques to represent subjects, actions, and objects (SAO) retrieved from combined titles and abstracts into vectors and constructed a tri-layer SAO network to visualize SAOs and their semantic relationships. Then, at a micro level, we developed network analytics for identifying problems and solutions from the SAO network, and recommending potential solutions for existing problems. Empirical insights derived from this study provide clues to understand China’s research strengths and the science policies beneath them, along with the key research problems and solutions Chinese researchers are focusing on now and might pursue in the future.

FULL-TEXT available at

Author(s): Yi Zhang, Mengjia Wu, Zhengyin Hu, Robert Ward, Xue Zhang, Alan Porter
Organization(s): University of Technology Sydney, Chengdu Library and Information Centre (CAS), Georgia Institute of Technology
Source: Quantitative Science Studies
Year: 2020

Interdisciplinary knowledge combinations and emerging technological topics: Implications for reducing uncertainties in research evaluation (FULL-TEXT)

This article puts forth a new indicator of emerging technological topics as a tool for addressing challenges inherent in the evaluation of interdisciplinary research. We present this indicator and test its relationship with interdisciplinary and atypical research combinations. We perform this test by using metadata of scientific publications in three domains with different interdisciplinarity challenges: Nano-Enabled Drug Delivery, Synthetic Biology, and Autonomous Vehicles. Our analysis supports the connection between technological emergence and interdisciplinarity and atypicality in knowledge combinations. We further find that the contributions of interdisciplinary and atypical knowledge combinations to addressing emerging technological topics increase or stay constant over time. Implications for policymakers and contributions to the literature on interdisciplinarity and evaluation are provided.

Author(s): Seokbeom Kwon, Jan Youtie, and Alan L. Porter
Organization(s): The University of Tokyo, Georgia Institute of Technology
Source: Research Evaluation
Year: 2020

Scientific publications and COVID-19 “research pivots” during the pandemic: An initial bibliometric analysis (FULL-TEXT pre-print)

An examination is presented of scientific research publication trends during the global coronavirus (COVID-19) pandemic in 2020. After reviewing the timing of the emergence of the pandemic in 2020 and the growth of governmental responses, available secondary and sources are used to highlight impacts of COVID-19 on scientific research. A bibliometric analysis is then undertaken to analyze developments in COVID-19 related scientific publications through to October of 2020 by broad trends, fields, countries, and organizations. Two publication data sources are used: PubMed and the Web of Science.

While there has been a massive absolute increase in PubMed and Web of Science papers directly focused on COVID-19 topics, especially in medical, biological science, and public health fields, this is still a relatively small proportion of publication outputs across all fields of science. Using Web of Science publication data, the paper examines the extent to which researchers across all fields of science have pivoted their research outputs to focus on topics related to COVID-19. A COVID-19 research pivot is defined as the extent to which the proportion of output in a particular research field has shifted to a focus on COVID-19 topics in 2020 (to date) compared with 2019. Significant variations are found by specific fields (identified by Web of Science Subject Categories). In a top quintile of fields, not only in medical specialties, biomedical sciences, and public health but also in subjects in social sciences and arts and humanities, there are relatively high to medium research pivots. In lower quintiles, including other subjects in science, social science, and arts and humanities, low to zero COVID-19 research pivoting is identified.

For FULL-TEXT of this pre-print see tab at

Author(s): Philip Shapira
Organization(s): The University of Manchester
Source: bioRxiv
Year: 2020

Tracking and Mining the COVID-19 Research Literature (FULL-TEXT)

The unprecedented, explosive growth of the COVID-19 domain presents challenges to researchers to keep up with research knowledge within the domain. This article profiles this research to help make that knowledge more accessible via overviews and novel categorizations. We provide websites offering means for researchers to probe more deeply to address specific questions. We further probe and reassemble COVID-19 topical content to address research issues concerning topical evolution and emphases on tactical vs. strategic approaches to mitigate this pandemic and reduce future viral threats. Data suggest that heightened attention to strategic, immunological factors is warranted. Connecting with and transferring in research knowledge from outside the COVID-19 domain demand a viable COVID-19 knowledge model. This study provides complementary topical categorizations to facilitate such modeling to inform future Literature-Based Discovery endeavors.


Author(s): Alan L. Porter, Yi Zhang, Ying Huang, and Mengjia Wu
Organization(s): Search Technology, University of Technology Sydney
KU Leuven
Source: Frontiers in Research Metrics and Analytics
Year: 2020

Bibliometric Analysis of Research Hotspots Related to Marine Oil Spill Accidents in the Environmental Field Based on Web of Science

The objective of this paper is to conduct bibliometric analysis of the relevant literature in the environmental field published from 1982 to 2018 collected by the Web of Science citation database and further explore the frontier research dynamics and hotspots in the environmental field. The word “oil spill*” was used as the subject term for retrieval. A knowledge map of hotspots in oil spill research was built through software VOSviewer and the clustering relations between them were explored. The frequency and relevance of the keywords in the corresponding literature were obtained by the matrix of keywords built through the Thomson Data Analyzer (TDA)software. The four main research hotspots of marine oil spill pollution were oil spill numerical simulation and model prediction, oil spill exposure toxicity and risk assessment, oil spill component and source analysis and oil spill pollution characteristics and treatment. The study analyzes the main content of the four research hotspots and the current research progress and provides scientific basis for further understanding of the mechanism of marine oil spill occurrence, migration and transformation, implementation of oil spill treatment and repair as well as more accurate assessment of eco-environment damage.

DOI: 10.12116/j.issn.1004-5619.2020.04.005

Author(s): J Wu, M Wang, C M Ye, Z H Xu, C Y Sha, J Y Zhang, S F Huang
Organization(s): Shanghai Academy of Environmental Sciences, East China Normal University
Source: Journal of Forensic Medicine
Year: 2020