
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.

这是编辑给出的评估,满分 5 分,不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳,不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据,The Science App(thescience.app)是一个收录在 AI Research Tool 下的 AI 平台,月访问量为 0,月度环比流量变化为 +0(0%)。其主要地理市场为全球(— 流量份额),采用免费定价模式。按月流量计算的主要竞争替代方案包括 Consensus(601.44万次访问/月),Scite(84.2万次访问/月),SciSpace(446.41万次访问/月)。
能同时列出正反两面证据和同行评议链接,比盲目吹牛的AI强多了。
文献检索神器,爽!
有些生僻论文爬不到,不过整体思路很清晰。
牛。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成,旨在呈现不同使用场景下的常见槽点与亮点,非实名真实用户评价。
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.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | The Science App | 0 | 0% | — | 免费 | 当前产品 |
| 1 | Consensus | 601.44万 | -1.2% | 49% 直接流量 | 免费增值 | 对比 Consensus |
| 2 | Scite | 84.2万 | +1.1% | 45% 直接流量 | 免费试用,定价请咨询 | 对比 Scite |
| 3 | SciSpace | 446.41万 | +8.6% | 29% 直接流量 | 免费增值 | 对比 SciSpace |
| 4 | Semantic Scholar | 819.87万 | +5.8% | 23% 直接流量 | 免费 | 对比 Semantic Scholar |
| 5 | Perplexity | 8831.02万 | -3.7% | 72% 直接流量 | 免费增值 | 对比 Perplexity |
| 6 | CiteTrue | 4.31万 | -13.9% | 22% 直接流量 | 免费 | 对比 CiteTrue |
基于 3 亿 + 篇学术全文的 AI 答案

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.
面向文献综述与可审计系统综述的 AI 原生研究工作台
基于 3 亿多篇真实学术论文生成研究报告,每条论断均标注并核验来源