Background:Infertility is a disease that results in the abnormal functioning of the male or female reproductive system. Systematic research planning on any subject, including infertility is in need of solid data regarding previous efforts in this field and to identify the gaps in the research.Objective:The aim of this research is to study the thematic structure of articles related to infertility.Materials and Methods: In this descriptive-analytical study with a scientometric approach, the PubMed database was searched for research publications indexed under "Infertility" over the period 2011-2015. Specific parameters were retrieved from the PubMed. Articles about infertility were analyzed regarding the journal of publication, topics, and countries using Net draw, Ucinet and RavarPreMap software. Also, the most influential topics were analyzed by indicators in the analysis of the network: closeness centrality, and between centralityResults:The growth in scientific productions the area of infertility over the mentioned period shows an upward trend with the highest growths seen in countries like the United States, the UK, Netherlands, China, and Germany. Moreover, the contents such as fertilization in vitro, adverse effects, spermatozoa, pregnancy rate, and treatment outcome were among the most frequently-used topics in the sphere.Conclusion:Thematic analysis can provide us the research topics, important expressions, and the relationships between them. Users and policymakers can also have a better understanding of the research status in the sphere and consequently, they can plan to increase the quantity and quality of scientific productions in a more efficient way.
Background: The Co-word analysis has the ability to identify the intellectual structure of knowledge in a research domain and reveal its subsurface research aspects. Objective: This study examines the intellectual structure of knowledge in the field of Andrology during the period 2008-2017 using Co-word analysis. Materials and Methods: In this descriptive-analytical study with a scientometric approach, the WoS database was searched for papers indexed under “Andrology” over the period 2008–2017. The data were analyzed using Co-word, clustering methods, and strategic diagram with the help of SPSS, UcInet, RavarPreMap and VOSviewer software. Results: The highest publication rate in the area of Andrology was seen in countries like the USA, China, Italy, and Iran. The top three journals that published papers on the field were Fertility and Sterility, Andrologia, Human reproduction. The results showed that the keyword “Spermatozoa” and two pairs of frequently used keywords, namely “Azoospermia * Oligospermia” were the most frequent in the field of Andrology. The results of hierarchical clustering led to 13 clusters. The clusters “Reproductive Techniques” and “Spermatogenesis” are the core clusters and play an effective role. The ”Post-Testicular causes” and “Neoplasm” clusters are in marginal. Conclusion: This study represented that Co-word analysis can well illustrate the intellectual structure of an area. Considering the frequency of keywords along with the clusters obtained, it seems that the majority of research approach was seen on infertility treatments, especially through assisted reproductive technology. Despite the importance of psychological aspects as well as education of reproductive health, these subjects have not been sufficiently considered.
Background: E-learning has been considered one of the outstanding applications of information and communication technologies during the past years. Objectives: The purpose of this study is to investigate the factors affecting the intention of academic individuals to use e-learning with an emphasis on the flow theory. Methods: This is a descriptive and applied piece of research. The study population included 112 e-learning students in the Virtual Faculty of the Isfahan University, Iran. A conceptual model was presented for the research. Liao's questionnaire was used for data collection. The questionnaire contained 25 items about several factors, including challenge (4 indices), skill (4 indices), interaction (3 indices), intermediate variable (4 indices), three dependent variables of exploratory use (4 indices), intention to use (3 indices), and time distortion (2 indices). Each item was answered on the basis of a 5-point Likert scale, from completely disagree (with score 1) to completely agree (with score 5). Cronbach's alpha value of 0.87 confirmed the reliability of the questionnaire. The descriptive data were analyzed and Pearson test and covariance analysis were conducted by the SPSS software programs version 23 and AMOS version 24.Results: The findings revealed that skill, challenge, and interactivity have a positive relationship with flow experience which, in turn, is positively related to the intention to use, exploratory use, and time distortion. Conclusions:The finding of this study is the serious and effective behavior of the users, which can be considered a variable of gaining flow experience in e-learning. It is an important aspect by which the users decide to reuse the system in an exploratory manner with no sense of track of time.
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