خلاصة:
The co-words analysis, as a scientometric method, helps us to discover the conceptual relationships between scientific texts and application of such relationships as a means to demonstrate important links that may be difficult to discover in other ways. This article is intended to use an analytical approach and identify research areas and to reveal the intellectual structure of knowledge in laser researches in biomedicine literature during 2009-2018. In this descriptive-analytical study with a scientometric approach, the data about laser were retrieved from PubMed in MEDINE format, including 7,682 articles with 18,227 keywords. By using co-word analysis, clustering methods, and strategic diagram; the data were analyzed with the help of SPSS 20, UcInet, and VOSviewer software. This study found that a steady growth could be seen on the laser research and 19.47% of publications are found in 5 journals. The most frequent keywords in the field of laser have been “lasers, solid-state”, “laser therapy”, “lasers, excimer”, etc. The results of cluster analysis shaped the concepts of laser in 7 clusters. The cluster “laser, excimer” was well developed and it plays an effective role. In contrast, “Photo chemotherapy”, “skin diseases with Emphasis on Lasers, gas”, “Laser Effects”, “Laser dentistry “and “Corneal Surgery, Laser” were relatively immature, which necessitates potential research space for future study. This research used co-word networks that indicate the important links between keywords of research areas. Disclosing the thorough context of issues which were encountered at the time of investigating, these networks will be used in locating knowledge gaps. Majority of research approaches include treatments or therapeutic aspects of laser in ophthalmology. The lack of some topics such as cardiology, oncology, optogenetics etc. shows that they have not been considered. Moreover, nevertheless of the practice site, application, or system in use, there is the goal of making and keeping a laser-safe environment for the staff, the user, and patient. These subjects have not been sufficiently considered.
ملخص الجهاز:
luteirrational Journal of Information Science end ManaCement Vol. 18, No. 2, 2020, 189-201 An Analysis of Laser Researches in Biomedicine Literature with a Scientometric Approach Fatemah Makkizadeh Associate Prof.
The article also studies the main topics in laser research and reviews thematic relations using co-word analysis method.
“The co-words analysis, as a scientometric method, helps us to study and identify conceptual relationships between scientific texts, to use such relationships to make general policies, and to choose research topics.
Reviewing the texts on co-word analysis and topic clustering shows that numerous researches have examined various fields of science through co-word analysis, including anticancer (Xie, 2015), infertility (Makkizadeh & Sa'adat, 2017), medical big data (Leung, Sun, Bai, 2017), social media (Makhoba & Pouris, 2017), medical big data (Hsu, Li, 2019), Linked Data Field (Kyaw, & Wang, 2018), and andrology (Makkizadeh, & Bigdeloo, 2019)..
One should note that reviewing texts on scientometrics studies, particularly dealing with different aspects of laser research, has been done by many researchers (Jain & Garg, 1992; Garg & Padhi, 1998,’ Garg, 2002; Garg & Padhi, 2001; Kalaiselvi & Gopalakrishnan, 2017) Thus, according to the above discussion, this study aims to take an analytic approach to identify laser research areas and to reveal the intellectual structure of knowledge in laser field on PubMed from 2009 to 2018 using co-word analysis, network analysis, and scientific visualization tools.
In this research, a strategic diagram is drawn based on centrality and density of each topic cluster in the laser field.
(
, 
, 
)
