#1加载中…
头对头基准测试
Consensus vs Course Decode
Consensus 记录了 6,014,388 月访问量，月度环比增长为 -1.2%，定价为免费增值。Course Decode 记录了 0 月访问量，增长率为 0%，定价为免费。
Consensus 记录了 6,014,388 月访问量，月度环比增长为 -1.2%，定价为免费增值。Course Decode 记录了 0 月访问量，增长率为 0%，定价为免费。
Course Decode is a free web tool that searches large samples of public LinkedIn profiles to show what graduates of a given degree actually do for work. Search a degree, or a degree at a specific college, and it returns a relevance score for how closely alumni careers match their field of study, along with the job types they moved into. It is designed to counter optimistic university marketing by grounding career decisions in observed outcomes.
| 维度 / 指标 |  | |
|---|---|---|
| 官方域名 | consensus.app | coursedecode.com |
| 定价模式 | 免费增值 | 免费 |
| 月访问量 | 601.44万 (6,014,388) | 0 (0) |
| 月度环比流量变化 | -7.14万 (-1.2%) |
| 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (12.8%) | 🌐 全球 (—) |
|---|
| 直接访问 / 月 | 291.87万 | 0 |
|---|
| 用户评分 | 4.7 | 4.3 |
|---|
| 支持的平台 | 网站 | 网站 |
|---|
面向同行评审文献的 AI 学术搜索引擎
用自然语言提出研究问题，即可获得由同行评审研究综合而成的答案，每条结论都链接到来源论文。
以可视化方式展示科学文献在某个是/否问题上的倾向，标明一致、分歧或证据混杂。
按研究设计、样本量、期刊质量、发表年份等条件过滤结果，优先呈现高质量证据。
将大量研究的结果汇总为结构化摘要，勾勒已知结论与尚存空白。
Course Decode is a free web tool that searches large samples of public LinkedIn profiles to show what graduates of a given degree actually do for work. Search a degree, or a degree at a specific college, and it returns a relevance score for how closely alumni careers match their field of study, along with the job types they moved into. It is designed to counter optimistic university marketing by grounding career decisions in observed outcomes.
Enter any bachelor's degree and instantly see the range of occupations its graduates actually hold, based on 349,996 analysed LinkedIn profiles.
Narrow the analysis to a specific university to see whether outcomes differ between institutions for the same subject.
Every career receives a 0–100 score built from a duration-weighted average of how relevant each job was to the person's degree.
Job classifications are generated by an AI model that labels each role as directly relevant, somewhat related or unrelated to the degree.
#1
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.
专项更强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.
专项更强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.
专项更强Excellent for visual citation mapping and literature discovery, but lacks automated paper Q&A and evidence synthesis.
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.
专项更强由用户付费、没有广告的搜索引擎
精准研究受众搭配 AI 校验的数据质量
专项更强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.
专项更强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.
通过智能引用追踪论文被引用方式以衡量可靠性，但直接的问答综合功能较少。
专项更强Excellent for visual citation mapping and literature discovery, but lacks automated paper Q&A and evidence synthesis.
用可视化论文图谱探索学术文献
