Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Outline literature retrieval in poison control.

J P Lorent

    Veterinary and Human Toxicology
    |January 1, 1979
    PubMed
    Summary

    For effective retrieval language learning, begin with one system, like TOXLINE. Other databases like EXCERPTA MEDICA and SCISEARCH offer competitive advantages for specific literature needs.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Dose-dependent toxicity of diphenhydramine overdose.

    Human & experimental toxicology·2001
    Same author

    [The STIZ and the epidemiology of poisoning in Switzerland (Swiss Toxicologic Information Center)].

    Therapeutische Umschau. Revue therapeutique·1992
    Same author

    [Poisoning with drugs, household products and plants in the case load of the Swiss Toxicologic Information Center].

    Therapeutische Umschau. Revue therapeutique·1992
    Same author

    [Poisonings: epidemiology and information in Switzerland].

    Therapeutische Umschau. Revue therapeutique·1986
    Same author

    Online data retrieval in poison control.

    Veterinary and human toxicology·1980
    Same author

    Online literature retrieval in poison control.

    Clinical toxicology·1979

    Area of Science:

    • Biomedical Informatics
    • Information Retrieval
    • Toxicology Databases

    Background:

    • Selecting appropriate databases is crucial for efficient literature searching in scientific research.
    • Different databases cater to specific needs, ranging from toxicology to recent scientific literature.

    Purpose of the Study:

    • To guide researchers in choosing the optimal retrieval language and database for their information needs.
    • To evaluate the strengths and weaknesses of major scientific literature databases.

    Main Methods:

    • Comparative analysis of prominent scientific literature databases: TOXLINE, EXCERPTA MEDICA, and SCISEARCH.
    • Assessment based on retrieval language learning curve and coverage of recent scientific literature.

    Main Results:

    • TOXLINE is recommended as the best initial choice for learning a retrieval language.
    • EXCERPTA MEDICA shows potential as a strong competitor if updated.
    • SCISEARCH remains the leading database for accessing the most recent scientific literature.

    Conclusions:

    • Starting with a single database like TOXLINE facilitates mastery of retrieval languages.
    • Database selection should align with the specific research focus and timeliness requirements.
    • Continuous updates are essential for databases like EXCERPTA MEDICA to maintain competitiveness.

    Related Experiment Videos