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Internal Medicine誌における主要研究テーマ

ー 直近10年間の論文タイトルのテキストマイニング手法による分析 ー

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DOI:

https://doi.org/10.51094/jxiv.673

キーワード:

学術情報、 学術流通、 学会誌、 学術誌、 学術出版、 テキストマイニング手法、 N-gram解析、 論文タイトル分析、 トレンド分析、 研究トレンド、 医学、 内科学、 テキストマイニング

抄録

本ジャーナルは, 2022年にImpact Factorが過去最高を記録した.その要因を探るべく, 直近10年間(2014~2023年)に掲載された論文タイトル6,857本を対象に,テキストマイニング手法を用いてN-gram解析を行った. 同解析結果(抽出結果)を診療領域毎に分類し,更に疾患名と医学用語にツリー構造(木構造)で可視化した結果,免疫系に関する論文, 免疫系の反応の利用や影響と各疾患の関連する論文が多く引用され,重要な研究テーマやトピックであることが我々の解析により明らかとなったので,ここに紹介させていただく.

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引用文献

Internal Medicine Official HP https://internmed.jp/

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投稿日時: 2024-04-12 22:45:42 UTC

公開日時: 2024-04-15 23:56:08 UTC
研究分野
情報科学