基于文献计量的高层次科研人才发现服务体系构建——以北京化工大学为例  

Bibliometrics-based Construction of Service System for High-level Scientific Talent Discovery: Case Study of Beijing University of Chemical Technology

作　　者：王婷[1] 伊雷[1] 张智萍[1] 张建文[1] 杨守文[1] 

机构地区：[1]北京化工大学图书馆,北京100029

出　　处：《情报探索》2015年第7期7-11,共5页Information Research

基　　金：北京化工大学中央高校基本科研业务费基金项目"北京化工大学学科生态系统研究"(项目编号:12060023010)的成果之一

摘　　要：提出一种高层次科研人才发现服务体系架构。以发现和甄别高校高层次科研人才为目的,以北京化工大学为例,以文献计量分析为基础,以ESI及Wo S数据库为数据源,利用Web of Science分析工具,对高层次科研人才发现服务体系的构建思路和方法进行了探索。选取该校36位高层次科研人才样本库为参照系,通过对论文数量、总被引频次、H指数、高频次被引论文以及ESI高被引论文等进行计量分析,建立定量化测度指标,并引入专利、获奖情况、成果转化情况以及其他能够反映其学术业绩的指标对文献计量分析结果进行修正,使测度指标趋于合理化,以便决策者们能够正确地应用这些指标预测和发现高层次科研人才。The paper proposes a service system for high-level scientific talent discovery. In order to find and recognize high-levelled scientific talents, it takes Beijing University of Chemical Technology（BUCT） for example, uses bibliometric analysis, and takes WOS and ESI as source databases, to discuss constructing idea and approach of a talent discovery service framework. It selects 36high-level scientific talents in BUCT as reference system, according to statistical analysis of document numbers, total cited frequency,H index, highly cited papers and ESI highly cited papers, establishes quantitative estimate index, and revises the bibliometric result by introducing patents, prizes awarded, science and technology achievements transformation and other indicators for academic performance to make the index more reasonable for decision-makers being able to apply these indicators properly to predict and find high-level scientific talents.

关 键 词：学术影响力 指标体系 人才发现服务 文献计量 

分 类 号：TB383.1[一般工业技术—材料科学与工程]