Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis
Introduction: The Co-word analysis has the ability to identify the intellectual structure of knowledge in a research domain and reveal its subsurface research aspects.<br /> Objective: This study examines the intellectual structure of knowledge in the field of nanomedicine during the period...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Iranian Society of Nanomedicine
2019-04-01
|
| Series: | Nanomedicine Research Journal |
| Subjects: | |
| Online Access: | http://www.nanomedicine-rj.com/article_35946_c7ec2b547bb8f6429f036ad7de2b7418.pdf |
| _version_ | 1819031501997604864 |
|---|---|
| author | Fatemeh Makkizadeh |
| author_facet | Fatemeh Makkizadeh |
| author_sort | Fatemeh Makkizadeh |
| collection | DOAJ |
| description | Introduction: The Co-word analysis has the ability to identify the intellectual structure of knowledge in a research domain and reveal its subsurface research aspects.<br /> Objective: This study examines the intellectual structure of knowledge in the field of nanomedicine during the period of 2009 to 2018 by using Co-word analysis.<br /> Materials and Methods: This paper develops a scientometric approach about nanomedicine over a data set of 2,798 documents published over a period of 10 years (2009–2018) on PubMed databases. The data was analyzed using co-word, clustering methods and strategic diagram assisted by SPSS, Ucinet, and VOS viewer software.<br /> Result: The top journal that published papers on the field was Nanomedicine (London, England). The results showed that the keyword "nanoparticles" and two pairs of frequently-used keywords namely "Drug delivery systems * Nanoparticles" were the most frequent in the field of nanomedicine. Application of hierarchical clustering led to the formation of 9 clusters. The cluster "Drug Delivery System (emphasis on cancer)" is the core cluster and plays an effective role. The other clusters like "Nano diagnostic", "Drug design" and "Renovated Medicine" are in marginal.<br /> Conclusion: This study represented that Co-Word analysis can well illustrate the intellectual structure of an area. The frequency of keywords as well as formed clusters demonstrate that the majority of research approaches include Pharmaceutical Nanotechnology. Despite the importance of other aspects as well as Nanosafety/ nanotoxicology and new medical products and equipment such as nanorobots have not been considered.<br /> |
| first_indexed | 2024-12-21T06:47:04Z |
| format | Article |
| id | doaj.art-1d8b943dcd274a6abc2b8f37ae99ebe4 |
| institution | Directory Open Access Journal |
| issn | 2476-3489 2476-7123 |
| language | English |
| last_indexed | 2024-12-21T06:47:04Z |
| publishDate | 2019-04-01 |
| publisher | Iranian Society of Nanomedicine |
| record_format | Article |
| series | Nanomedicine Research Journal |
| spelling | doaj.art-1d8b943dcd274a6abc2b8f37ae99ebe42022-12-21T19:12:34ZengIranian Society of NanomedicineNanomedicine Research Journal2476-34892476-71232019-04-014210111010.22034/nmrj.2019.02.00735946Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word AnalysisFatemeh Makkizadeh0Department of Information Science and Knowledge Studies Faculty of Social Sciences, Yazd University, Yazd, IranIntroduction: The Co-word analysis has the ability to identify the intellectual structure of knowledge in a research domain and reveal its subsurface research aspects.<br /> Objective: This study examines the intellectual structure of knowledge in the field of nanomedicine during the period of 2009 to 2018 by using Co-word analysis.<br /> Materials and Methods: This paper develops a scientometric approach about nanomedicine over a data set of 2,798 documents published over a period of 10 years (2009–2018) on PubMed databases. The data was analyzed using co-word, clustering methods and strategic diagram assisted by SPSS, Ucinet, and VOS viewer software.<br /> Result: The top journal that published papers on the field was Nanomedicine (London, England). The results showed that the keyword "nanoparticles" and two pairs of frequently-used keywords namely "Drug delivery systems * Nanoparticles" were the most frequent in the field of nanomedicine. Application of hierarchical clustering led to the formation of 9 clusters. The cluster "Drug Delivery System (emphasis on cancer)" is the core cluster and plays an effective role. The other clusters like "Nano diagnostic", "Drug design" and "Renovated Medicine" are in marginal.<br /> Conclusion: This study represented that Co-Word analysis can well illustrate the intellectual structure of an area. The frequency of keywords as well as formed clusters demonstrate that the majority of research approaches include Pharmaceutical Nanotechnology. Despite the importance of other aspects as well as Nanosafety/ nanotoxicology and new medical products and equipment such as nanorobots have not been considered.<br /> http://www.nanomedicine-rj.com/article_35946_c7ec2b547bb8f6429f036ad7de2b7418.pdfnanomedicineco-word analysisintellectual structure. |
| spellingShingle | Fatemeh Makkizadeh Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis Nanomedicine Research Journal nanomedicine co-word analysis intellectual structure. |
| title | Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis |
| title_full | Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis |
| title_fullStr | Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis |
| title_full_unstemmed | Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis |
| title_short | Intellectual structure of knowledge in Nanomedicine field (2009 to 2018): A Co-Word Analysis |
| title_sort | intellectual structure of knowledge in nanomedicine field 2009 to 2018 a co word analysis |
| topic | nanomedicine co-word analysis intellectual structure. |
| url | http://www.nanomedicine-rj.com/article_35946_c7ec2b547bb8f6429f036ad7de2b7418.pdf |
| work_keys_str_mv | AT fatemehmakkizadeh intellectualstructureofknowledgeinnanomedicinefield2009to2018acowordanalysis |