ArticleJournal of medical systems2006
Comparative analysis of medical web search using generalized vs. niche technologies.
Article in Journal of medical systems, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
One increasingly popular solution to the problem of information overload is the niche search engine, designed as a customized knowledge management tool to meet the needs of information seekers with similar interests. By limiting web crawling to a specific subject area, the niche engine is able to crawl deeper and more discreetly than commercial counterparts. This exploratory technology assessment study sought to examine differences in information search and retrieval patterns between commercial and niche search engines in areas of debated or uncertain healthcarer treatment. Findings suggest that while information found within the niche search is generally more trustworthy, niche searches leave out many reliable sources which are retrievable through commercial search engines. Also, consumer-friendly (non-technical) resources were found to be more prevalent using commercial search engines, suggesting greater relevance for the layperson within this domain.
Indexed as
Identifiers
16848134What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.