PubMed Interact: an interactive search application for MEDLINE/PubMed.
Clicks: 211
ID: 94276
2006
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Emerging Content
0.3
/100
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1 readers
Trending
AI Quality Assessment
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Abstract
Online search and retrieval systems are important resources for medical literature research. Progressive Web 2.0 technologies provide opportunities to improve search strategies and user experience. Using PHP, Document Object Model (DOM) manipulation and Asynchronous JavaScript and XML (Ajax), PubMed Interact allows greater functionality so users can refine search parameters with ease and interact with the search results to retrieve and display relevant information and related articles.| Reference Key |
muin2006pubmedamia
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|---|---|
| Authors | Muin, Michael;Fontelo, Paul;Ackerman, Michael; |
| Journal | amia annual symposium proceedings amia symposium |
| Year | 2006 |
| DOI | DOI not found |
| URL | URL not found |
| Keywords |
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