Objective: The overall aim of the present study was to compare the coverage of existing research funding information for articles indexed in Scopus, Web of Science, and PubMed databases.Methods: The numbers of articles with funding information published in 2015 were identified in the three selected databases and compared using bibliometric analysis of a sample of twenty-eight prestigious medical journals.Results: Frequency analysis of the number of articles with funding information showed statistically significant differences between Scopus, Web of Science, and PubMed databases. The largest proportion of articles with funding information was found in Web of Science (29.0%), followed by PubMed (14.6%) and Scopus (7.7%).Conclusion: The results show that coverage of funding information differs significantly among Scopus, Web of Science, and PubMed databases in a sample of the same medical journals. Moreover, we found that, currently, funding data in PubMed is more difficult to obtain and analyze compared with that in the other two databases. This article has been approved for the Medical Library Association’s Independent Reading Program.

There have been a number of debates in the field of nursing ethics. Researchers have focused on various aspects of nursing ethics, such as professional ethics, professional, nursing and ethical values. Within this research, a variety of literature reviews have been conducted, but to the best of our knowledge, bibliometric mapping has not yet been used. This article aims to analyse the production of literature within nursing ethics research. In order to examine publishing patterns, we focused on publishing dynamics, prolific research entities and the most-cited articles. We additionally visualised the content of the literature using a novel mixed-method approach, combining bibliometric analysis and mapping with thematic analysis. In our study, ethical review was not required. A total of 1416 information sources were found in the Scopus database. Overall, literature production has increased; however, in recent years, the quantity of published material has begun to decrease. The most prolific countries are the United States, the United Kingdom and Canada, and the most prolific source titles are Nursing Ethics, Journal of Advanced Nursing and Nursing Times. Lately, research in the field of nursing ethics has been focused more on life care (providing for the basic needs of older residents), moral distress and community nursing. The dynamics of research literature production showed an exponential rise in the number of published information sources – a rise which started in the period between 1974 and 1998. Since that period, the trend has stabilised, which might indicate that nursing ethics research is starting a transition to a mature phase. The innovative use of bibliometric analysis and mapping, together with thematic analysis, is a useful tool for analysis of research production in the field of nursing ethics. The results presented can be an excellent starting point for literature reviews and more exhaustive data, information and knowledge seeking.

Background: The IoT and big data are newer technologies that can provide substantial support for healthcare systems, helping them overcome their shortcomings. The aim of this paper was to analyze the relevant literature descriptively, thematically, and chronologically from an interdisciplinary perspective in a holistic way to identify the most prolific research entities and themes. Methods: Synthetic knowledge synthesis qualitatively and quantitatively analyzes the production of literature through a combination of descriptive bibliometrics, bibliometric mapping, and content analysis. For this analysis, the Scopus bibliometric database was used. Results: In the Scopus database, 2272 publications were found; these were published between 1985 and 10 June 2024. The first article in this field was published in 1985. Until 2012, the production of such literature was steadily increasing; after that, exponential growth began, peaking in 2023. The most productive countries were the United States, India, China, the United Kingdom, South Korea, Germany, and Italy. The content analysis resulted in eight themes (four from the perspective of computer science and four from the perspective of medicine) and 21 thematic concepts (8 from the perspective of computer science and 13 from the perspective of medicine). Conclusions: The results show that the IoT and big data have become key technologies employed in preventive healthcare. The study outcomes might represent a starting point for the further development of research that combines the multidisciplinary aspects of healthcare.