Q.What data source is used for citation contexts?
A.The extension uses citation contexts extracted from semanticscholar.org, specifically the S2ORC dataset.
C
CORA: Understand PubMed Citation Contexts
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💬62
💲Free
CORA is a Chrome extension that enhances the understanding of PubMed article citation contexts. It uses a deep learning model to classify citations and provides links to related science news and grants, making it a valuable tool for researchers, grant writers, and students.
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Platform
ext
Chrome extensionCitation analysisCitation contextDeep learningGrantsPubMedResearch
What is CORA: Understand PubMed Citation Contexts?
CORA is a Chrome extension designed to help users understand the citation contexts of PubMed articles. It leverages a deep learning model trained on over 100 million citation contexts to classify how articles are cited. Additionally, it offers a search feature to find related EurekAlert! science news releases and NSF/NIH grants, providing valuable context for researchers, grant writers, and students.
Core Technologies
- Deep Learning Model
- S2ORC Dataset
- Chrome Extension
Key Capabilities
- Citation context classification
- Search for related science news
- Search for related grants
Use Cases
- Researchers can understand how their work is cited
- Grant writers can find related publications and funding opportunities
- Students can grasp the impact of research articles
Core Benefits
- Understand citation contexts of PubMed articles
- Find related science news and grants
- Gain deeper insights into research impact
Key Features
- Citation context classification using deep learning
- Search for EurekAlert! science news releases
- Search for NSF/NIH grants
How to Use
- 1Install the CORA Chrome extension
- 2Open a PubMed article
- 3View citation contexts and related links
- 4Use search function for news and grants
Frequently Asked Questions
Q.How does the extension classify citation contexts?
A.The extension uses a deep learning model trained on the S2ORC dataset to classify citation contexts into different types.
Q.Where does the extension get information about science news releases and grants?
A.The extension searches for related EurekAlert! science news releases and NSF/NIH grants.
Pros & Cons (Reserved)
✓ Pros
- Provides valuable context for understanding PubMed article impact
- Integrates citation context with related news and grant information
- Uses large dataset and deep learning for accurate classification
✗ Cons
- Relies on S2ORC data, which may introduce biases
- Accuracy depends on the quality of the deep learning model
- Functionality limited to PubMed articles
Alternatives
No alternatives found.