A Bibliometric Measure of Translational Science.
Ontology highlight
ABSTRACT:
SUBMITTER: Kim YH
PROVIDER: S-EPMC7968388 | biostudies-literature |
REPOSITORIES: biostudies-literature
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| S-EPMC5439753 | biostudies-literature
Project description:Positive organizational psychology (POP) is a research area that focuses on the positive aspects of optimal functioning at work. Although consolidated and with a large volume of publications, no bibliometric analysis has been performed that allows knowing its high-level structure, developments, and distribution of knowledge since its origins. The objective is to analyze the 7181 articles published in POP on the Web of Science Core Collection (WoSCC). A retrospective bibliometric analysis and science mapping were performed. The title, authors, institutions, countries, scientific categories, journals, keywords, year, and citations were extracted from WoSCC. Impact factor, quartile, and country were collected from Journal Citation Reports (JCR) 2019. Authors were classified according to the proposal of Crane, and Bradford's law was calculated. The results show that it is an area with more than 100 years of experience, divided into three stages of different productivity and visibility, highlighting a decrease in its visibility in recent years. With a multidisciplinary and international interest, psychology and business and economics stand out, especially in countries such as the United States, the United Kingdom, and the Netherlands. Four popular study topics emerged: well-being at work, positive leadership, work engagement, and psychological capital.
| S-EPMC8157200 | biostudies-literature
Project description: Not available
| S-EPMC8106965 | biostudies-literature
Project description:The World Health Organization recognizes noma as a global health problem and has suggested prioritizing research into this disease. A bibliographic search of original articles published in the Web of Science database up to 2022 was performed. A bibliometric analysis was carried out with the bibliometrix package in R and VOSviewer. We identified 251 articles published in 130 journals. The first publication was in 1975, the highest number of publications was in 2003, and the average number of citations per document was 12.59. The author with the highest number of publications was Enwonwu CO, and the Noma Children's Hospital had the highest number of articles on this topic. Plastic and Reconstructive Surgery was the journal with the most publications, and the study by Petersen PE was the most cited. The country of corresponding authors that had the most publications and the most significant number of total citations was the United States. "Children" and "Reconstruction" were the most used keywords. In conclusion, there are few publications on noma worldwide, confirming the neglected status of this disease. Urgent actions are needed to increase evidence in regard to the epidemiology of noma and public health interventions to mitigate the ravages of this disease.
| S-EPMC9412599 | biostudies-literature
Project description:In 2000 the United States launched the National Nanotechnology Initiative and, along with it, a well-defined set of goals for nanomedicine. This Perspective looks back at the progress made toward those goals, within the context of the changing landscape in biomedicine that has occurred over the past 15 years, and considers advances that are likely to occur during the next decade. In particular, nanotechnologies for health-related genomics and single-cell biology, inorganic and organic nanoparticles for biomedicine, and wearable nanotechnologies for wellness monitoring are briefly covered.
| S-EPMC4664315 | biostudies-other
Project description:Background:In order to conduct translational science, scientists must combine domain-specific expertise with knowledge on how to identify and cross translational hurdles, and insights on positioning discoveries for the next translational stage. Expert educators from the Clinical and Translational Science Awards (CTSA) Consortium identified 97 knowledge, skills, and abilities (KSAs) important to include in training programs for translational scientists. To assist educators and trainees to use these KSAs, a conceptual model called "Personalized Pathways" was developed that prioritizes KSAs based on trainee background, research area, or phenotype, and expertise on the research team. Purpose:To understand how CTSA educators prioritize specific KSAs when developing personalized training plans for different translational phenotypes and to identify areas of similarity and difference across phenotypes. Methods:A web-based, cross-sectional survey of CTSA educators was done. For a selected phenotype, respondents recommended one of four levels of mastery for each of the 97 KSAs. Results were tabulated by frequency, weighted by importance, and divided into tertiles representing high, middle, and lower priority KSAs. Agreement across phenotypes was compared using Krippendorff's alpha. Results:Ten KSAs were high training priority for Preclinical, Clinical, and Community-Engaged phenotypes. These address research methods, responsible conduct of research, team building, and communicating research results. Nine KSAs were in the next tertile for priority reflecting KSAs in biostatistics, bioinformatics, regulatory precepts, and translating implications of research findings. Conclusion:A smaller set of KSAs can be prioritized for training Preclinical-, Clinical-, and Community-Engaged researchers. Future work should explore this approach for other phenotypes.
| S-EPMC7159805 | biostudies-literature
Project description:Global collaboration in translational science promises to accelerate the discovery, development and dissemination of new medical interventions. Here, we introduce a new international collaboration of translational science organizations and highlight our initial strategy to reduce or remove bottlenecks in translation.
| S-EPMC5378162 | biostudies-literature
Project description:ObjectiveTranslational science aims at "translating" basic scientific discoveries into clinical applications. The identification of translational science has practicality such as evaluating the effectiveness of investments made into large programs like the Clinical and Translational Science Awards. Despite several proposed methods that group publications-the primary unit of research output-into some categories, we still lack a quantitative way to place articles onto the full, continuous spectrum from basic research to clinical medicine.Materials and methodsI learn vector representations of controlled vocabularies assigned to Medline articles to obtain a translational axis that points from basic science to clinical medicine. The projected position of a term on the translational axis, expressed by a continuous quantity, indicates the term's "appliedness." The position of an article, determined by the average location over its terms, quantifies the degree of its appliedness, which I term the level score.ResultsI validate the present method by comparing with previous techniques, showing excellent agreement yet uncovering significant variations of scores of articles in previously defined categories. The measure allows us to characterize the standing of journals, disciplines, and the entire biomedical literature along the basic-applied spectrum. Analysis on large-scale citation network reveals 2 main findings. First, direct citations mainly occurred between articles with similar scores. Second, shortest paths are more likely ended up with an article closer to the basic end of the spectrum, regardless of where the starting article is on the spectrum.ConclusionsThe proposed method provides a quantitative way to identify translational science.
| S-EPMC7647337 | biostudies-literature
Project description:Farm animal welfare in the People's Republic of China (henceforth, China) is not well represented in the international scientific literature. This may lead researchers, advocates and those with agricultural partnerships in China to assume that animal welfare is not a field of interest there. This study reports a literature review of published pig and poultry welfare research in China using Chinese scientific databases. We aimed to determine which areas of welfare research have recently received academic attention in China. From an understanding of areas being studied, current and emerging priority areas for research could be determined. This study identified 854 academic publications citing pig or chicken welfare in China published between 2008 and 2018. Within these publications, two broader areas of significant attention were addressed in the context of animal welfare; yield and product quality, such as feeding, biosecurity and antimicrobial resistance, including immunity and second, the relationship of animal welfare with the Chinese philosophy of 'ecological agriculture.' Holistic systems were advocated to maximize sustainability and maintain a healthy environment, such as the creation of fermented bedding for pigs. Environmental enrichment was also a focus of attention, demonstrating an interest in animals' mental welfare, which was usually conjectured from their behavior. Few of the articles were translated into English or other languages and therefore most were largely unavailable to the English-speaking global scientific community. This presents an opportunity to provide relevant animal welfare knowledge, which could improve animal welfare globally. China is a global animal trade leader and the home of the largest agricultural industries in the world. An increase in collaboration on animal welfare research and understanding of the advancements that have been made in China, as reviewed in this manuscript, could advance farm animal welfare from a global perspective.
| S-EPMC7142485 | biostudies-literature
Project description:OBJECTIVES:To analyse trends in the academic literature applying complexity science to healthcare, focusing specifically on bibliometric characteristics and indicators of influence. DESIGN:This study reports a bibliometric analysis via a systematic search of the academic literature applying complexity science to healthcare. METHOD:A search of four academic databases was performed on 19 April 2018. Article details were downloaded and screened against inclusion criteria (peer-reviewed journal articles applying complexity science to healthcare). Publication and content data were then collected from included articles, with analysis focusing on trends over time in the types and topics of articles, and where they are published. We also analysed the influence of this body of work through citation and network analyses. RESULTS:Articles on complexity science in healthcare were published in 268 journals, though a much smaller subset was responsible for a substantial proportion of this literature. USA contributed the largest number of articles, followed by the UK, Canada and Australia. Over time, the number of empirical and review articles increased, relative to non-empirical contributions. However, in general, non-empirical literature was more influential, with a series of introductory conceptual papers being the most influential based on both overall citations and their use as index references within a citation network. The most common topics of focus were health systems and organisations generally, and education, with recent uptake in research, policy, and change and improvement. CONCLUSIONS:This study identified changes in the types of articles on complexity science in healthcare published over time, and their content. There was evidence to suggest a shift from conceptual work to the application of concrete improvement strategies and increasingly in-depth examination of complex healthcare systems. We also identified variation in the influence of this literature at article level, and to a lesser extent by topic of focus.
| S-EPMC6475366 | biostudies-literature