Scientific research in the field of healthcare contributes to solving not only medical, but also economic and social issues. One of the latest trends is the growing interest in evaluating the effectiveness of research conducted. In the current study, we have hypothesized that science contributes to the reduction of the Cancer Mortality Rate (CMR) by making awareness about and bringing attention to this disease. The purpose of our investigation is to study the possible correlation between five scientometric indicators (Web of Science Documents, International Collaborations, etc.) and CMR changes for 14 countries. Furthermore, the expenditures of GDP in both science and healthcare for each of the studied countries have been considered within the framework of cancer-science relations in order to find out the possible socio-economic impact on cancer incidence. Methodologically, the study relies on the principles of scientometric management. The research data were retrieved from Web of Science and the World Health Organization for the period from 1997 to 2017. To investigate the correlation between scientific research and the CMR, we have used bibliometric data and nonparametric statistical methods (the Kruskal-Wallis test, Spearman’s correlation coefficient) as well as the Dunn test of multiple group checks and the Shapiro-Wilk test. R language, Tidyverse package R and VOSviewer were used for data processing. The research results showed that during the period in question there was an increase in the CMR in Armenia and Georgia, while in Iran and Azerbaijan it remained almost consistent. For the rest of the countries from Asia and Europe, as well as Canada and the USA, the CMR experienced a downward trend. We have found close links between scientometric data, the CMR and economic costs for Europe and the USA. At the same time, for Armenia and neighbouring countries the correlation between the CMR and GDP was weak. Moreover, GDP costs incurred in healthcare and science did not have a positive effect on the CMR in Armenia, Azerbaijan and Georgia. This indicates that scientific and socio-economic factors are highly correlated with each other and, therefore, have a positive impact on the CMR, mainly in Europe and the USA. However, the science-health relationship in Armenia is still weak and requires efforts to prevent the continued rise in CMR levels. The findings of this study can also be applied to other fields of science and help to establish close links between scientometrics and various branches of medicine.

Bibliometric analysis is widely used for the assessment of collaboration both at the domestic and international levels, which has been known as one of the essential parts of academic performance and enhancement of scientific productivity and visibility. Evaluation of national and international cooperation in the framework of jointly published papers in biology underlies the core of present study. This research provides insight into the nature of scientific productivity and international scientific cooperation. The study aims to give a bibliometric overview via scientometric indicators based on a bibliometric database of published articles in the Biological Journal of Armenia during 2007-2020. The main indicators used for the evaluation of co-authorship patterns include the degree of collaboration, collaboration index, and the collaboration coefficient. The visualization of landscapes for both institution-wise and country-wise distributions within the international cooperation has also been performed.

Scientometric analysis of the research results is recognized as one of the most important tools for monitoring the academic impact and scientific advancement at various levels. The study of publications in a particular area is a good indicator of the state of research work. A study of publications provides a concise understanding of the direction of research, implications and current trends in a particular academic field. The results are very useful for academicans, scientists, policy-makers in the scientific field, and professional organizations. This work is aimed at performing a bibliometric analysis with scientometric indicators in materials science, metallurgy and mining in terms of evaluating the research results during 2012-2019. The parameters of the relevant research include the trend of increasing publications, the distribution of publications by language, the distribution of publications by country and subject area, collaboration models, identification of the most productive institutions, publications with high citation, and the most preferred journals for publications by authors. scientists. This scientrometric study analyzes the publications of Proceedings of National Polytechnic University of Armenia. Metallurgy, Material Science, Mining Engineering. This research will help academicians, in particular, and science policy-makers to have better comprehension and understanding how to promote science policy and guide scientists from a concerned academic field to undertake promising research. The study is based on the research of 168 scientific publications. A research like this provides an invaluable and key insight into the effectiveness of scientific contributions that can influence science policy and research strategies in specific areas of academic interest.