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Daily Archives: 2025年11月26日
Top 32 list of microbiology journals with their Impact Factors from 2024, including publisher
Top 32 list of microbiology journals with their Impact Factors from 2024, including publisher and other relevant information based on the latest available data from the source:
| Rank | Journal Name | Impact Factor 2024 | Publisher |
|---|---|---|---|
| 1 | Nature Reviews Microbiology | ~103.3 | Springer Nature |
| 2 | Nature Microbiology | ~19.4 | Springer Nature |
| 3 | Clinical Microbiology Reviews | ~19.3 | American Society for Microbiology (ASM) |
| 4 | Cell Host \& Microbe | ~19.2 | Cell Press |
| 5 | Annual Review of Microbiology | ~12.5 | Annual Reviews |
| 6 | Trends in Microbiology | ~11.0 | Cell Press |
| 7 | Gut Microbes | ~12.0 | Taylor \& Francis |
| 8 | Microbiome | ~11.1 | Springer Nature |
| 9 | Clinical Infectious Diseases | ~9.1 | Oxford University Press |
| 10 | Journal of Clinical Microbiology* | ~6.1 | American Society for Microbiology (ASM) |
| 11 | FEMS Microbiology Reviews | ~8.9 | Oxford University Press |
| 12 | The ISME Journal | ~9.5 | Springer Nature |
| 13 | Environmental Microbiology | ~8.2 | Wiley |
| 14 | Microbes and Infection | ~7.5 | Elsevier |
| 15 | Journal of Medical Microbiology | ~4.4 | Microbiology Society |
| 16 | Frontiers in Microbiology | ~6.4 | Frontiers Media |
| 17 | MicrobiologyOpen | ~3.6 | Wiley |
| 18 | Microbial Ecology | ~4.9 | Springer Nature |
| 19 | Journal of Bacteriology | ~4.0 | American Society for Microbiology (ASM) |
| 20 | Applied and Environmental Microbiology | ~4.5 | American Society for Microbiology (ASM) |
| 21 | Pathogens and Disease | ~3.3 | Oxford University Press |
| 22 | Microbial Biotechnology | ~7.3 | Wiley |
| 23 | Antonie van Leeuwenhoek | ~3.8 | Springer Nature |
| 24 | Journal of Antimicrobial Chemotherapy | ~5.2 | Oxford University Press |
| 25 | Virulence | ~5.4 | Taylor \& Francis |
| 26 | mBio | ~6.6 | American Society for Microbiology (ASM) |
| 27 | Emerging Infectious Diseases | ~6.3 | CDC |
| 28 | Microbial Cell Factories | ~6.0 | Springer Nature |
| 29 | Microbial Pathogenesis | ~4.4 | Elsevier |
| 30 | Journal of Virology | ~5.8 | American Society for Microbiology (ASM) |
| 31 | Microbiology Spectrum | ~4.9 | American Society for Microbiology (ASM) |
| 32 | Journal of Infectious Diseases* | ~5.9 | Oxford University Press |
Use.ai vs Perplexity.ai
Use.ai和Perplexity.ai两个网站都支持调用多个先进的AI模型以满足不同用户需求，但在模型种类和实力上存在差异。
Use.ai集成了多达10个知名模型，包括GroK4、Deepinfra Kimi K2、Llama 3.3、Qwen 3 Max、Google Gemini、Deepseek、Claude Opus 4.1、OpenAI GPT-5、GPT-4o和GPT-4o Mini。这些模型覆盖了从大型语言模型、多模态模型到轻量级边缘模型，满足从高端科研到企业级应用和轻量便捷使用的广泛场景，体现了高度多样性和功能丰富性。
而Perplexity.ai主要以OpenAI的GPT系列模型为基础，支持GPT-4、GPT-3.5等主流大语言模型，同时融合了实时网络搜索和信息检索功能，增强了回答的实时性和准确性。虽然模型数量较少，但其优势在于结合强大的搜索引擎技术，能够提供带有权威引用的智能问答，提升信息可信度。
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结合这两个平台各自优势，用户可根据自身需求选择：若重视多模型丰富性和多场景支持，推荐Use.ai；若注重即时、准确、有来源保障的答案检索，Perplexity.ai是更优选择。
以上内容结合了两平台的模型资源和功能特点，帮助用户在AI应用中做出更明智的选择Use.ai和Perplexity.ai两平台均助力提升智能问答和信息获取体验，满足未来多样化的人工智能需求。