
The Science App is an AI research assistant that checks scientific claims by gathering both supporting and opposing evidence, then synthesizing a balanced verdict with links to peer-reviewed sources. You submit a claim, and the system returns a pro side, a con side, and a synthesis that weighs the two — all backed by traceable citations to journals, PMC, and scholarly indexes. A community feed shows hundreds of analyses you can browse for reference.

編集部による 5 点満点の評価です。ユーザー評価の平均ではありません。 このページの各視点は、製品情報をもとに AI がまとめたものです。実際の利用者のレビューではありません。
OpenAITools.app のテレメトリ(2026-11-11 検証)によると、The Science App(thescience.app)は AIリサーチツールに分類される AI プラットフォームで、月間 0 の訪問を生み出し、前月比のトラフィック増減は +0(0%)です。主要な地域市場はグローバル(トラフィックシェア —)で、無料の料金モデルで運営されています。月間ボリューム別の主な競合代替ツールには Consensus(月間 601.44万訪問)、Scite(月間 84.2万訪問)、SciSpace(月間 446.41万訪問)が含まれます。
両方の視点から論文ソースを出してくれて信頼できる。
最高。
サイト検証・料金体系・同カテゴリ比較に基づき AI が多角的な論点を要約した参考視点であり、実在ユーザーの個別投稿ではありません。
Enter any scientific or health claim and receive a structured breakdown covering both the evidence for it and the evidence against it.
Every analysis links out to journals, PMC articles, and scholarly indexes so the underlying studies remain verifiable and traceable.
Beyond pro and con, the engine writes a synthesis that weighs the two sides and notes where the evidence remains uncertain or contested.
Browse a public feed of community-submitted analyses — including topics like cell biology — to see how the engine reasons across different claims.
The Science App is an AI research assistant that checks scientific claims by gathering both supporting and opposing evidence, then synthesizing a balanced verdict with links to peer-reviewed sources. You submit a claim, and the system returns a pro side, a con side, and a synthesis that weighs the two — all backed by traceable citations to journals, PMC, and scholarly indexes. A community feed shows hundreds of analyses you can browse for reference.
Run a trending health or nutrition claim through the engine to see what the literature actually supports and what it contradicts, with citations to follow up.
Get a quick pro/con evidence map before committing hours to a manual literature search, then use the linked sources as starting points.
Use structured, cited breakdowns to prepare articles, lessons, or posts that fairly represent the balance of evidence.
Stress-test a belief by looking specifically at the opposing evidence and the synthesis, rather than only the material that confirms it.
同じ主要カテゴリの競合 AI ツールをテレメトリで並列比較
| 順位 | AI ツール | 月間訪問数 | 前月比成長率 | 直接流入の割合 | 料金 | 直接比較 |
|---|---|---|---|---|---|---|
| ● | The Science App | 0 | 0% | — | 無料 | 表示中 |
| 1 | Consensus | 601.44万 | -1.2% | 直接流入 49% | フリーミアム | vs Consensus |
| 2 | Scite | 84.2万 | +1.1% | 直接流入 45% | 無料トライアル、料金は要問い合わせ | vs Scite |
| 3 | SciSpace | 446.41万 | +8.6% | 直接流入 29% | フリーミアム | vs SciSpace |
| 4 | Semantic Scholar | 819.87万 | +5.8% | 直接流入 23% | 無料 | vs Semantic Scholar |
| 5 | Perplexity | 8831.02万 | -3.7% | 直接流入 72% | フリーミアム | vs Perplexity |
| 6 | CiteTrue | 4.31万 | -13.9% | 直接流入 22% | 無料 | vs CiteTrue |

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.
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.
ライブ Web の引用とフロンティア推論モデルを組み合わせた、リアルタイム AI アンサーエンジン兼リサーチワークスペース。
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.
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.

WisPaper is an AI literature discovery and deep-search assistant for researchers. It screens large sets of academic papers and narrows them to the studies that actually matter, helping you find relevant work and track research trends without reading everything yourself.
WisPaper is an AI literature discovery and deep-search assistant for researchers. It screens large sets of academic papers and narrows them to the studies that actually matter, helping you find relevant work and track research trends without reading everything yourself.

ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
ResearchRabbit is a free AI research discovery tool that maps the literature around the papers you care about. Seed it with a paper you like and it visualises related work, key authors and emerging topics, learning from your choices to surface the research you have been missing.
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
3億件以上の実在する学術論文から、すべての記述に引用とDOI検証を付けたリサーチレポートを生成