Cargando…
Research Trend Visualization by MeSH Terms from PubMed
Motivation: PubMed is a primary source of biomedical information comprising search tool function and the biomedical literature from MEDLINE which is the US National Library of Medicine premier bibliographic database, life science journals and online books. Complimentary tools to PubMed have been dev...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025283/ https://www.ncbi.nlm.nih.gov/pubmed/29848974 http://dx.doi.org/10.3390/ijerph15061113 |
_version_ | 1783336244628946944 |
---|---|
author | Yang, Heyoung Lee, Hyuck Jai |
author_facet | Yang, Heyoung Lee, Hyuck Jai |
author_sort | Yang, Heyoung |
collection | PubMed |
description | Motivation: PubMed is a primary source of biomedical information comprising search tool function and the biomedical literature from MEDLINE which is the US National Library of Medicine premier bibliographic database, life science journals and online books. Complimentary tools to PubMed have been developed to help the users search for literature and acquire knowledge. However, these tools are insufficient to overcome the difficulties of the users due to the proliferation of biomedical literature. A new method is needed for searching the knowledge in biomedical field. Methods: A new method is proposed in this study for visualizing the recent research trends based on the retrieved documents corresponding to a search query given by the user. The Medical Subject Headings (MeSH) are used as the primary analytical element. MeSH terms are extracted from the literature and the correlations between them are calculated. A MeSH network, called MeSH Net, is generated as the final result based on the Pathfinder Network algorithm. Results: A case study for the verification of proposed method was carried out on a research area defined by the search query (immunotherapy and cancer and “tumor microenvironment”). The MeSH Net generated by the method is in good agreement with the actual research activities in the research area (immunotherapy). Conclusion: A prototype application generating MeSH Net was developed. The application, which could be used as a “guide map for travelers”, allows the users to quickly and easily acquire the knowledge of research trends. Combination of PubMed and MeSH Net is expected to be an effective complementary system for the researchers in biomedical field experiencing difficulties with search and information analysis. |
format | Online Article Text |
id | pubmed-6025283 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60252832018-07-16 Research Trend Visualization by MeSH Terms from PubMed Yang, Heyoung Lee, Hyuck Jai Int J Environ Res Public Health Article Motivation: PubMed is a primary source of biomedical information comprising search tool function and the biomedical literature from MEDLINE which is the US National Library of Medicine premier bibliographic database, life science journals and online books. Complimentary tools to PubMed have been developed to help the users search for literature and acquire knowledge. However, these tools are insufficient to overcome the difficulties of the users due to the proliferation of biomedical literature. A new method is needed for searching the knowledge in biomedical field. Methods: A new method is proposed in this study for visualizing the recent research trends based on the retrieved documents corresponding to a search query given by the user. The Medical Subject Headings (MeSH) are used as the primary analytical element. MeSH terms are extracted from the literature and the correlations between them are calculated. A MeSH network, called MeSH Net, is generated as the final result based on the Pathfinder Network algorithm. Results: A case study for the verification of proposed method was carried out on a research area defined by the search query (immunotherapy and cancer and “tumor microenvironment”). The MeSH Net generated by the method is in good agreement with the actual research activities in the research area (immunotherapy). Conclusion: A prototype application generating MeSH Net was developed. The application, which could be used as a “guide map for travelers”, allows the users to quickly and easily acquire the knowledge of research trends. Combination of PubMed and MeSH Net is expected to be an effective complementary system for the researchers in biomedical field experiencing difficulties with search and information analysis. MDPI 2018-05-30 2018-06 /pmc/articles/PMC6025283/ /pubmed/29848974 http://dx.doi.org/10.3390/ijerph15061113 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Yang, Heyoung Lee, Hyuck Jai Research Trend Visualization by MeSH Terms from PubMed |
title | Research Trend Visualization by MeSH Terms from PubMed |
title_full | Research Trend Visualization by MeSH Terms from PubMed |
title_fullStr | Research Trend Visualization by MeSH Terms from PubMed |
title_full_unstemmed | Research Trend Visualization by MeSH Terms from PubMed |
title_short | Research Trend Visualization by MeSH Terms from PubMed |
title_sort | research trend visualization by mesh terms from pubmed |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6025283/ https://www.ncbi.nlm.nih.gov/pubmed/29848974 http://dx.doi.org/10.3390/ijerph15061113 |
work_keys_str_mv | AT yangheyoung researchtrendvisualizationbymeshtermsfrompubmed AT leehyuckjai researchtrendvisualizationbymeshtermsfrompubmed |