PubMed Interact: an interactive search application for MEDLINE/PubMed.

Clicks: 324
ID: 94276
2006
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Star

Ranked #7 of 12 articles by views in amia annual symposium proceedings amia symposium

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
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 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
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

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.