Trends in Fetal Medicine:A 10-Year Bibliometric Analysis of Prenatal Diagnosis

摘要：

　　The objective is to automatically identify trends in Fetal Medicine over the past 10 years through a bibliometric analysis of articles published in Prenatal Diagnosis,using text mining techniques.We processed 2,423 full-text articles published in Prenatal Diagnosis between 2006 and 2015.We extracted salient terms,calculated their frequencies over time,and established evolution profiles for terms,from which we derived falling,stable,and rising trends.We identified 618 terms with a falling trend,2,142 stable terms,and 839 terms with a rising trend.Terms with increasing frequencies include those related to statistics and medical study design.The most recent of these terms reflect the new opportunities of next-generation sequencing.Many terms related to cytogenetics exhibit a falling trend.A bibliometric analysis based on text mining effectively supports identification of trends over time.This scalable approach is complementary to analyses based on metadata or expert opinion.

关键词： Bibliometrics Prenatal Diagnosis

作者: Ferdinand Dhombres Olivier Bodenreider

作者单位: National Library of Medicine,National Institutes of Health,Bethesda,MD,USA

会议类型: 国际会议

会议名称: 第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)

会议地点: 苏州

会议语种:英文

页码: 853-857

在线出版日期: 2017-08-21（万方平台首次上网日期，不代表论文的发表时间）