
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.

這是編輯給出的評估,滿分 5 分,不是使用者評分的平均值。 本頁的各方觀點由 AI 根據產品資訊歸納,不是真實使用者的評價。
依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料,The Science App(thescience.app)是收錄於 AI 研究工具的 AI 平台,每月產生 0 次造訪,月流量變化量為 +0(0%)。其主要地理市場為全球(流量佔比 —),並採用免費定價模式。依每月流量計算的主要競爭替代方案包括 Consensus(每月 601.44萬次造訪),Scite(每月 84.2萬次造訪),SciSpace(每月 446.41萬次造訪)。
能同時列出正反派論文依據,寫文獻回顧超好用!
讚啦,不會盲目吹捧單一結論。
以下短評基於實時網頁探查、定價機制與同類基準由 AI 綜合生成,用於呈現不同情境下的常見亮點與槽點,非實名真實用戶留言。
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.
同一分類下同類 AI 工具的流量並排比較
| 排名 | AI 工具 | 每月造訪次數 | 月增幅 | 直接流量占比 | 價格 | 正面對決 |
|---|---|---|---|---|---|---|
| ● | The Science App | 0 | 0% | — | 免費 | 目前產品 |
| 1 | Consensus | 601.44萬 | -1.2% | 49% 直接流量 | 免費增值 | 對比 Consensus |
| 2 | Scite | 84.2萬 | +1.1% | 45% 直接流量 | 免費試用、需聯絡報價 | 對比 Scite |
| 3 | SciSpace | 446.41萬 | +8.6% | 29% 直接流量 | 免費增值 | 對比 SciSpace |
| 4 | Semantic Scholar | 819.87萬 | +5.8% | 23% 直接流量 | 免費 | 對比 Semantic Scholar |
| 5 | Perplexity | 8831.02萬 | -3.7% | 72% 直接流量 | 免費增值 | 對比 Perplexity |
| 6 | CiteTrue | 4.31萬 | -13.9% | 22% 直接流量 | 免費 | 對比 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.
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.
為文獻回顧與可稽核系統性回顧打造的 AI 原生研究工作台
以 3 億多篇真實學術論文生成研究報告,每項論述皆標註並核驗來源