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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Veröffentlicht in:PLoS ONE 2023, Vol.18 (2), p.e0281422
Hauptverfasser: 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
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Sprache:eng
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