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医学信息学期刊文献的结构。

The structure of medical informatics journal literature.

作者信息

Morris T A, McCain K W

机构信息

University of Cincinnati, Ohio, USA.

出版信息

J Am Med Inform Assoc. 1998 Sep-Oct;5(5):448-66. doi: 10.1136/jamia.1998.0050448.

Abstract

OBJECTIVE

Medical informatics is an emergent interdisciplinary field described as drawing upon and contributing to both the health sciences and information sciences. The authors elucidate the disciplinary nature and internal structure of the field.

DESIGN

To better understand the field's disciplinary nature, the authors examine the intercitation relationships of its journal literature. To determine its internal structure, they examined its journal cocitation patterns.

MEASUREMENTS

The authors used data from the Science Citation Index (SCI) and Social Science Citation Index (SSCI) to perform intercitation studies among productive journal titles, and software routines from SPSS to perform multivariate data analyses on cocitation data for proposed core journals.

RESULTS

Intercitation network analysis suggests that a core literature exists, one mark of a separate discipline. Multivariate analyses of cocitation data suggest that major focus areas within the field include biomedical engineering, biomedical computing, decision support, and education. The interpretable dimensions of multidimensional scaling maps differed for the SCI and SSCI data sets. Strong links to information science literature were not found.

CONCLUSION

The authors saw indications of a core literature and of several major research fronts. The field appears to be viewed differently by authors writing in journals indexed by SCI from those writing in journals indexed by SSCI, with more emphasis placed on computers and engineering versus decision making by the former and more emphasis on theory versus application (clinical practice) by the latter.

摘要

目的

医学信息学是一个新兴的跨学科领域,被描述为既借鉴健康科学和信息科学,又对其作出贡献。作者阐明了该领域的学科性质和内部结构。

设计

为了更好地理解该领域的学科性质,作者研究了其期刊文献的相互引用关系。为了确定其内部结构,他们考察了期刊共被引模式。

测量

作者使用科学引文索引(SCI)和社会科学引文索引(SSCI)的数据,对多产的期刊进行相互引用研究,并使用SPSS软件程序对选定核心期刊的共被引数据进行多变量数据分析。

结果

相互引用网络分析表明存在核心文献,这是一个独立学科的标志之一。共被引数据的多变量分析表明,该领域内的主要重点领域包括生物医学工程、生物医学计算、决策支持和教育。多维标度图的可解释维度在SCI和SSCI数据集之间有所不同。未发现与信息科学文献的紧密联系。

结论

作者发现了核心文献和几个主要研究前沿的迹象。在SCI索引期刊上发表文章的作者与在SSCI索引期刊上发表文章的作者对该领域的看法似乎有所不同,前者更强调计算机和工程,而后者更强调理论而非应用(临床实践)。

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