Background
The application of bibliometrics in medicine enables one to analyse vast amounts of publications and their production patterns on macroscopic and microscopic levels.
Objectives
The aim of ...the study was to analyse the historical perspective of research literature production regarding application of bibliometrics in medicine.
Methods
Publications related to application of bibliometrics in medicine from 1970 to 2018 were harvested from the Scopus bibliographic database. Reference Publication Year Spectroscopy was triangulated with the VOSViewer to identify historical roots and evolution of topics and clinical areas.
Results
The search resulted in 6557 publications. The literature production trend was positive. Historical roots analysis identified 33 historical roots and 16 clinical areas where bibliometrics was applied.
Discussion
The increase in productivity in application of bibliometrics in medicine might be attributed to increased use of quantitative metrics in research evaluation, publish or perish phenomenon and the increased use of evidence‐based medicine.
Conclusion
The trend of the literature production was positive. Medicine was in the forefront of knowledge development in bibliometrics. reference publication year spectroscopy proved to be an accurate method which was able to identify most of the historical roots.
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BFBNIB, DOBA, FZAB, GIS, IJS, IZUM, KILJ, NLZOH, NUK, OILJ, PILJ, PNG, SAZU, SBCE, SBMB, SIK, UILJ, UKNU, UL, UM, UPUK
With a population of only around two million, Slovenia has a total of 14 hospitals with a pediatric or a neonatal unit, which is significantly above the European average of such units per capita. ...This begets the question whether such a high density of pediatric units is needed, and whether this is optimal in terms of responsibly spending the national healthcare budget. While in-depth answers to such questions require lengthy on-site evaluations of experts and healthcare professionals, many insights can nevertheless be obtained from a bird’s-eye perspective, statistically studying large databases and looking for complexity and order in them. To that effect, we here study five years’ worth of diagnosis across ten of Slovenia’s pediatric and two neonatal units, looking in detail at the number of hospital treatments per patient each diagnosis required, their distributions, and the comparisons of these data across the units. We find evidence of power laws in the distributions, thus indicating some form of self-organization behind the emergence of various diseases and the resulting treatments. We also show that the ratios between the number of times a given diagnosis has been made and the required number of treatments are, apart from rare exceptions, rather consistent across all the units. Our research thus affords the conclusions that, at least from afar, Slovenian pediatrics is managed well and consistently, to the point of complexity manifesting in the distributions across various cross-sections of the studied data.
•We study 5 years’ worth of diagnosis across Slovenia’s pediatric and neonatal units.•The distribution of hospital treatments per patient follows a power law.•We argue in favor of self-organization being behind the observed complexity.•The numbers of treatments per diagnosis are consistent across the units.•We conclude that, from this Bird’s-eye perspective, Slovenian pediatrics is managed well.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UILJ, UL, UM, UPCLJ, UPUK, ZAGLJ, ZRSKP
This study aims to create a bibliometric profile of the Journal Computers in Human Behavior employing bibliometric analysis, bibliometric mapping and thematic analysis to identify its document types, ...the dynamics and trends of research literature production, impact factor, most cited articles, and large contributing institutions and countries. Additionally, the authors were interested in finding the established patterns of cooperation among countries and institutions and the most productive research themes and their evolution through time. We were also interested in finding out if there are any sleeping beauties among articles published in the Journal. The study revealed a positive trend of scientific literature production and that the average number of references is increasing contrary to the number of pages per publication, which is decreasing, although it has remained stable in recent years. The most productive countries and institutions are from the United States, and the majority of the literature production is done by economically and scientifically fit and well developed countries. The identified research themes correspond with the Journal's aims and scope. The rising number of publications, increasing number of citations and, consequently, the Journal impact factor, together with the existence of sleeping beauties, shows that the editorial policy is well thought out and future oriented.
•The first bibliometric profile of the Journal Computers in Human Behavior.•The trend of scientific literature production and impact factor of the journal is positive.•The majority of the literature production is done by economically developed countries.•Identified research themes correspond with the journal's aims and scope.•Five sleeping beauties were identified.
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GEOZS, IJS, IMTLJ, KILJ, KISLJ, NUK, OILJ, PNG, SAZU, SBCE, SBJE, UL, UM, UPCLJ, UPUK, ZRSKP
Scientific publications are received by the research community in various ways. Some articles are quickly cited, while others are discovered only after a longer period of time. The term ‘sleeping ...beauty’ is used to describe a publication that went unnoticed (asleep) for an extended period of time and then, almost suddenly, became interesting regarding the number of citations. Using our software based on van Raan criteria, we surprisingly identified only one Sleeping beauty according to van Rann criteria and two “to be” sleeping beauties among almost 71,000 Health informatics publications. Based on the rarity of sleeping beauties encountered in our study, we might hypothesise that knowledge development and its publications based archiving in young and extremely fast developing scientific fields like Health informatics might differ from traditional scientific disciplines, especially regarding the life cycles of innovations.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Various factors have been attributed for delayed recognition of Sleeping Papers, for example introducing new technologies which didn’t yet exist, or proposing ideas that were too much ahead of time ...to be interesting or usable in practice or for further research. In this letter, we analyse another possible reason, namely missing the target audience.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Simultaneous inventions and Sleeping papers are two interesting phenomena in scientific discovery and knowledge development processes, however they were not yet researched as a single occurrence. To ...close this gap, we performed a bibliometric study in which we analysed if simultaneous discoveries can also be subjected to delayed recognition. The analysis was performed on four already identified nursing Sleeping Papers and resulted in one Sleeping simultaneous invention. Sleeping simultaneous inventions or partially sleeping inventions may represent a valuable source for improved understanding about knowledge development processes and are worth candidates for future research.
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EMUNI, FIS, FZAB, GEOZS, GIS, IJS, IMTLJ, KILJ, KISLJ, MFDPS, NLZOH, NUK, OBVAL, OILJ, PNG, SAZU, SBCE, SBJE, SBMB, SBNM, UKNU, UL, UM, UPUK, VKSCE, ZAGLJ
Over the past few decades, machine learning has emerged as a valuable tool in the field of medicine, driven by the accumulation of vast amounts of medical data and the imperative to harness this data ...for the betterment of humanity. However, many of the prevailing machine learning algorithms in use today are characterized as black-box models, lacking transparency in their decision-making processes and are often devoid of clear visualization capabilities. The transparency of these machine learning models impedes medical experts from effectively leveraging them due to the high-stakes nature of their decisions. Consequently, the need for explainable artificial intelligence (XAI) that aims to address the demand for transparency in the decision-making mechanisms of black-box algorithms has arisen. Alternatively, employing white-box algorithms can empower medical experts by allowing them to contribute their knowledge to the decision-making process and obtain a clear and transparent output. This approach offers an opportunity to personalize machine learning models through an agile process. A novel white-box machine learning algorithm known as Data canyons was employed as a transparent and robust foundation for the proposed solution. By providing medical experts with a web framework where their expertise is transferred to a machine learning model and enabling the utilization of this process in an agile manner, a symbiotic relationship is fostered between the domains of medical expertise and machine learning. The flexibility to manipulate the output machine learning model and visually validate it, even without expertise in machine learning, establishes a crucial link between these two expert domains.
Sleeping beauties in pediatrics Završnik, Jernej; Kokol, Peter
Journal of the Medical Library Association
104, Issue:
4
Journal Article
Peer reviewed
Open access
Sleeping beauties (SBs) in science have been known for few decades; however, it seems that only recently have they become popular. An SB is a publication that "sleeps" for a long time and then almost ...suddenly awakes and becomes highly cited. SBs present interesting findings in science. Pediatrics research literature has not yet been analyzed for their presence, and 5 pediatrics SBs were discovered in this research. Their prevalence was approximately 0.011%. Some environments or periods are more "SB fertile" than others: 3 of 5 SBs were published in the journal
4 originated from the United States, and 4 were published in the period from 1992 to 1993. No institutions or authors published more than 1 SB.
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Purpose
The aim of this paper was to present the results of the first study in which nursing research literature production was studied in the relation to country and health determinants.
Design
...Bibliometric analysis was used.
Methods
The corpus of nursing publications was harvested from the Scopus indexing and ing database. Using research articles' metadata (funding acknowledgments, publication years, and author affiliations), we analyzed global trends in the nursing research literature production of funded and nonfunded publications. Next, we performed a regression analysis and correlation analysis relating nursing research productivity to health and country determinants.
Findings
The search resulted in 118,870 papers, among which 22.0% were funded (24.7% for G8 countries). Nursing literature production is exhibiting a positive trend. The United States is by far the most productive country in terms of funded and nonfunded literature production, although it is ranked only ninth in per capita production, for which Sweden is the most productive country regarding funded papers. The study also revealed that gross domestic product, human development factor, and gross national income were related to nursing research literature productivity.
Conclusions
The positive trend in nursing research literature production (both funded and nonfunded) reveals a growth in nursing research funding. Regionally centered research literature production shows that the more developed and “rich” countries produce the majority of publications. A positive correlation is evident between country determinants and research literature production, as is a positive correlation between per capita literature research production and well‐being and health determinants.
Clinical Relevance
Substantial growth in terms of nursing research literature production and research funding has been identified. While a limited amount of research in this area exists, this study revealed some interesting relations between nursing literature production and country and health determinants, which might motivate nursing researchers to pursue more intensive research and funders to support further growth of nursing research funding.
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