Semantic Scholar: 膨大な学術インデックスに完全無料でアクセスできるが、Consensusと比べると自然言語による自動的なエビデンス統合機能は控えめ。 Consensus は月間 6,014,388 訪問、前月比成長率 -1.2%、料金体系フリーミアムを記録しています。Semantic Scholar は月間 8,198,672 訪問、成長率 +5.8%、料金体系無料を記録しています。
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
| 項目 / 指標 |  | |
|---|---|---|
| 公式ドメイン | consensus.app | semanticscholar.org |
| 料金モデル | フリーミアム | 無料 |
| 月間訪問数 | 601.44万 (6,014,388) | 819.87万 (8,198,672) |
| 前月比トラフィック増減 | -7.14万 (-1.2%) | +45.07万 (+5.8%) |
| 主要市場とシェア | 🇺🇸 アメリカ合衆国 (12.8%) | 🇺🇸 アメリカ合衆国 (22.9%) |
| 月間ダイレクト訪問数 | 291.87万 | 188.44万 |
| ユーザー評価 | 4.7 | 4.8 |
| 対応プラットフォーム | ウェブサイト | ウェブサイト |
査読論文を対象としたAI学術検索エンジン
研究上の問いを自然言語で入力すると、査読研究を統合した回答が得られ、各主張は出典論文にリンクします。
イエス／ノー型の問いに対して科学文献がどちらに傾いているかを可視化し、一致・不一致・混在を示します。
研究デザイン、サンプルサイズ、ジャーナルの質、発表年などで結果を絞り、質の高いエビデンスを優先できます。
多数の研究結果を構造化された要約にまとめ、何が分かっていてどこに空白があるかを示します。
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Search 241 million-plus publications from every scientific field using natural-language queries that match meaning rather than exact keywords.
Each indexed paper gets a one-sentence machine-generated TLDR so you can triage results before committing to reading the full text.
An augmented PDF reader that highlights citations, definitions, equations and figures inline, and shows which later papers cited the passage you are reading.
See how a paper was cited, whether citations were influential, and which references shaped the work — useful for literature reviews and citation chasing.
特化型Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
特化型Broader real-time web search capabilities with academic filters, but less specialized for deep bibliographic citation analysis than Semantic Scholar.
特化型ユーザーが支える、広告のない検索エンジン
自動化されたシステマティックレビューのデータ抽出とエビデンスの統合に優れていますが、インデックス化されている文献の範囲は狭めです。
特化型Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
特化型Jenni is an AI research and academic writing workspace that helps students, researchers, and academics read, write, and cite in one place. Bring in PDFs or import a Zotero or Mendeley library, and Jenni's autocomplete suggests sentences grounded in your own sources, with every suggestion linked to the exact page and paragraph. A built-in writer, AI chat, citation engine covering 10,000+ styles, and a Reviews tool for catching weak or unverified claims make it a full environment for producing cited papers.
特化型Rayyan is an AI-assisted systematic review platform that helps research teams import, deduplicate, screen, extract data from, and report on literature across the full evidence synthesis workflow.
特化型論文同士がどのように支持し合っているか、あるいは反論しているかを示す高度なスマート引用機能を提供しますが、全体のインデックスは小さめです。
特化型優れた視覚的引用コレクションと文献追跡のおすすめ機能を備えていますが、インラインの論文要約機能がありません。
特化型優れた視覚的引用コレクションと文献追跡のおすすめ機能を備えていますが、インラインの論文要約機能がありません。
特化型学術論文のつながりを視覚的にマッピングする優れたグラフ機能を提供しますが、従来のキーワード検索や全文閲覧ツールがありません。
特化型学術論文のつながりを視覚的にマッピングする優れたグラフ機能を提供しますが、従来のキーワード検索や全文閲覧ツールがありません。
文献レビューと監査可能なシステマティックレビューのためのAIネイティブ研究ワークスペース
特化型Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
特化型Paper Digest is an AI research platform that summarizes literature, generates literature reviews with citations, and delivers daily digests of new papers across arXiv, PubMed, bioRxiv and major conferences. Launched in 2018 and used by millions of researchers, it combines a citation-backed review engine that avoids inventing results with tools for reading PDFs, writing, question answering, claim verification and topic tracking.
特化型Organizes research fields into visual concept maps for exploratory discovery, but lacks granular paper recommendation feeds.
特化型Organizes research fields into visual concept maps for exploratory discovery, but lacks granular paper recommendation feeds.
