MLTrends: Graphing MEDLINE term usage over time

Journal of biomedical discovery and collaboration Pub Date : 2010-01-22 DOI:10.5210/DISCO.V5I0.2680

Gareth A. Palidwor, Miguel Andrade

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引用次数: 13

Abstract

The MEDLINE database of medical literature is routinely used by researchers and doctors to find articles pertaining to their area of interest. Insight into historical changes in research areas and use of scientific language may be gained by chronological analysis of the 18 million records currently in the database, however such analysis is generally complex and time consuming. The authors’ MLTrends web application graphs term usage in MEDLINE over time, allowing the determination of emergence dates for biomedical terms and historical variations in term usage intensity. Terms considered are individual words or quoted phrases which may be combined using Boolean operators. MLTrends can plot the number of records in MEDLINE per year whose titles or abstracts match each queried term for multiple terms simultaneously. The MEDLINE database is stored and indexed on the MLTrends server allowing queries to be completed and graphs generated in less than one second. Queries may be performed on all titles and/or abstracts in MEDLINE and can include stop words. The resulting graphs may be normalized by total publications or words per year to facilitate term usage comparison between years.This makes MLTrends a powerful tool for rapid evaluation of the evolution of biomedical research and language in a graphical way. MLTrends may be used at: http://www.ogic.ca/mltrends

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MLTrends:绘制MEDLINE术语随时间的使用情况

研究人员和医生经常使用MEDLINE医学文献数据库来查找与他们感兴趣的领域有关的文章。通过对目前数据库中的1800万条记录按时间顺序进行分析，可以深入了解研究领域和科学语言使用的历史变化，但是这种分析通常是复杂和耗时的。作者的MLTrends web应用程序绘制了MEDLINE中随时间变化的术语使用情况，允许确定生物医学术语的出现日期和术语使用强度的历史变化。考虑的术语是可以使用布尔运算符组合的单个单词或引用短语。MLTrends可以绘制每年MEDLINE中标题或摘要同时与多个查询术语匹配的记录数量。MEDLINE数据库存储在MLTrends服务器上并建立索引，从而允许在不到一秒的时间内完成查询并生成图形。查询可以在MEDLINE中的所有标题和/或摘要上执行，并且可以包括停止词。生成的图表可以按每年的总出版物或字数进行标准化，以方便不同年份之间的术语使用比较。这使得MLTrends成为以图形方式快速评估生物医学研究和语言发展的强大工具。MLTrends可在http://www.ogic.ca/mltrends上使用

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Journal of biomedical discovery and collaboration

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