Efficacy improvement in searching MEDLINE database using a novel PubMed visual analytic system: EEEvis

PubMed is the most extensively used database and search engine in the biomedical and healthcare fields. However, users could experience several difficulties in acquiring their target papers facing massive numbers of search results, especially in their unfamiliar fields. Therefore, we developed a nov...

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Detalles Bibliográficos
Autores principales: Lee, Jong-Chan, Lee, Brian J., Park, Changhee, Song, Hyunjoo, Ock, Chan-Young, Sung, Hyojae, Woo, Sungjin, Youn, Yuna, Jung, Kwangrok, Jung, Jae Hyup, Ahn, Jinwoo, Kim, Bomi, Kim, Jaihwan, Seo, Jinwook, Hwang, Jin-Hyeok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910730/
https://www.ncbi.nlm.nih.gov/pubmed/36758038
http://dx.doi.org/10.1371/journal.pone.0281422

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910730/
https://www.ncbi.nlm.nih.gov/pubmed/36758038
http://dx.doi.org/10.1371/journal.pone.0281422

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