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Connected Papers vs Course Decode
Connected Papers 记录了 750,576 月访问量，月度环比增长为 +3.1%，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。
Connected Papers 记录了 750,576 月访问量，月度环比增长为 +3.1%，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 | connectedpapers.com | coursedecode.com |
| 定价模式 | 免费增值 | 免费 |
| 月访问量 | 75.06万 (750,576) | 0 (0) |
| 月度环比流量变化 | +2.24万 (+3.1%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (17.6%) | 🌐 全球 (—) |
| 直接访问 / 月 | 30.84万 | 0 |
| 用户评分 | 4.7 | 4.3 |
| 支持的平台 | 网站 | 网站 |
用可视化论文图谱探索学术文献
每张图谱把种子论文放在最相关的文献之间，并按共同被引或共享参考文献的密度聚类。
分别展示论文所依据的基础工作与其后的发展，非常适合追溯研究脉络。
可从论文标题、DOI、URL 或会议论文集链接开始，用手头已有的信息直接进入图谱。
当需要具体信息而非全局概览时，可通过排序列表按相关性浏览相关文献。
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.
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.
专项更强Integrates deep PDF reading and analysis workspaces, but lacks dedicated visual citation network mapping capabilities.
精准研究受众搭配 AI 校验的数据质量
专项更强通过智能引用追踪引用可靠性与上下文，但基于图表的视觉化文献探索功能较少。
提供了同样精致的视觉化文献地图界面，但增加了协作式文献集管理功能。
专项更强Streamlines literature search and reference management, but does not provide an interactive visual citation graph.
专项更强Streamlines literature search and reference management, but does not provide an interactive visual citation graph.
覆盖 10,000+ 产品的 AI 市场情报与贸易数据平台
Helps discover and track academic papers and trends, but offers less robust visual citation graph mapping.
Helps discover and track academic papers and trends, but offers less robust visual citation graph mapping.
