5-Minute Topic Selection
Generate innovative topic directions for project selection based on the entered research direction, project type, department/discipline, research type, subject attributes, profession, and professional title.
猫眼课题宝
猫眼课题宝是一款用于科研选题、标书生成和基金查询的工具，面向医生、科研工作者、教师和学生等用户。它结合基金数据和文献资源，帮助用户快速筛选研究方向并生成可用于申报场景的选题建议。
Product Overview
猫眼课题宝 is a tool for research topic selection and application scenarios. Its homepage highlights “topic selection in 5 minutes.” The page information shows that it combines 8.79 million funding records, 180 million literature resources, and a specialized AI research large model to help users generate topic suggestions around a specific research direction, along with novelty scores and keyword combination suggestions.
The product page shows a step-by-step process from entering research information to generating a topic, adapted for provincial and ministerial projects, municipal and bureau-level projects, as well as NSFC Youth Fund, General Program, and Regional Program applications. The homepage also clearly states that the reference literature for topic selection cites real literature from the past 5 years from Chinese Academy of Sciences Zone 2 or above, aiming to make the topic selection more evidence-based and more aligned with research grant application scenarios.
Core Features
Step-by-Step Topic Selection Flow
Break the topic selection process into four steps: entering information, determining the research direction, selecting popular keywords, and generating an innovative topic, reducing manual sorting effort.
Coverage for Multiple Project Types
Supports provincial and ministerial projects, municipal and bureau-level projects, NSFC Youth Fund, NSFC General Program, NSFC Regional Program, and other project types.
High-Level Literature Citations from the Past 5 Years
The homepage shows that the topic references cite real literature from the past 5 years from Chinese Academy of Sciences Zone 2 or above, used to support the topic basis.
Funding Data Search and Query
The NSFC funding query page supports searching by approval number, project leader, application code, project abstract, approval year, completion year, project status, and host institution.
Supporting Research Workflow
The product also provides related entry points such as 3-step bid document generation, one-on-one project application support, literature analysis, global funding queries, and project trend analysis.
Typical Use Cases
Topic Screening Before Project Approval
When preparing for an NSFC or provincial/ministerial project, users can first enter the research direction and basic information, then get topic directions and innovation hints that can be further refined.
Proposal Framework Generation
When a proposal structure needs to be built quickly, users can enter the “3-step bid document generation” flow, generate a framework first, and then continue improving the main text.
Funding Data Search
When looking up funding approval information or validating the basis for a topic, users can use the funding query function to search by approval number, project leader, application code, project abstract, and more.
Customized Topic Selection by Personal Conditions
When a paper, project, or application direction is broad, users can narrow the scope through conditions such as department, discipline, research type, profession, and professional title to get suggestions closer to their own situation.
One-on-One Application Support
When professional guidance is needed during the application process, users can also go to the one-on-one project application page for topic selection, proposal guidance, and polishing support.
Pros and Cons
Pros
- Covers multiple early-stage research workflows such as topic selection, bid document generation, and funding queries.
- Supports detailed inputs by department, research type, profession, and professional title, making it easier to fit specific application scenarios.
- Provides data search entry points for funding and literature, and the homepage emphasizes using real high-level literature from the past 5 years as references.
- The page clearly shows a step-by-step flow and a history entry, making it easier to use continuously and review results.
Cons
- The pricing page currently returns 404, so the public page cannot confirm pricing, plans, or trial rules.
- The homepage shows many user reviews and generated examples, but lacks independent third-party verification.
- Some feature descriptions come from different pages, and the specific workflow and output details are not fully public.
FAQ
What is it mainly used for?
The page information shows that this product can help complete a research topic selection in 5 minutes, and generate topic suggestions based on the entered research direction, project type, department/discipline, research type, subject attributes, profession, and professional title.
What is the process for using it?
The homepage provides a flow of “enter topic information—determine the research direction—select popular keywords—generate an innovative topic”; the page also shows “usage guide” and “history” entry points.
Which project types does it support?
The homepage lists project types including provincial and ministerial projects, municipal and bureau-level projects, NSFC Youth Fund, NSFC General Program, NSFC Regional Program, and other project types.
Where do the data and references come from?
The homepage states that the topic reference literature uses real literature from the past 5 years from Chinese Academy of Sciences Zone 2 or above; the NSFC funding query page supports searching funding data by approval number, project leader, application code, project abstract, and other information.
Can I see the pricing now?
The pricing page currently shows 404 Not Found, so the public pages do not confirm the exact pricing or plan structure.
Quick Facts
- Product Name
- 猫眼课题宝
- Category
- Research topic selection and application support tool
- Core Scenarios
- 5-minute topic selection, 3-step bid document generation, NSFC funding query
- Primary Users
- Doctors, researchers, teachers, students, and working master's/PhD students
- Data Scale
- 8.79 million funding records, 180 million literature resources
- Official Domain
- myketi.com
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