面向图情学科热点高被引论文引文曲线特征分析

发布时间：2018-04-17 12:10

本文选题：图书情报 + 高被引论文　；参考：《情报杂志》2017年08期

【摘要】：[目的/意义]研究图情领域引文曲线的特征差异,采用多维标度方法发现研究者的变化和研究主题的变化与引文曲线特征变化之间的关系,这有利于不同研究者找到研究同行、推进学科发展;并结合睡美人文献的研究,以便挖掘学科研究前沿。[方法/过程]通过对336篇图书情报高被引论文绘制引文曲线,发现经典、指数增长、多峰、波形、睡美人、指数下降六种引文曲线类型。并进行引文曲线形状特征分析、采用标度分析方法进行引文曲线特征差异分析、引文网络特征分析、引文曲线分布状态分析。[结果/结论]结果发现:(1)Avramescu提出的某些引文曲线均有出现之外,还出现了新的引文曲线类型,"多峰引文曲线"、"波形引文曲线"和"指数下降引文曲线"。(2)不同研究主题,被引最佳年限,不同作者的高被引论文引文曲线特征都存在差异。(3)高被引论文引文曲线特征可以用来识别不同的研究方向和不同的研究团队。
[Abstract]:[objective / significance] to study the characteristic difference of citation curve in the field of map and information, and to find out the relationship between the change of researcher's subject and the characteristic of citation curve by using multidimensional scale method.It is helpful for different researchers to find research peers and promote the development of disciplines, and combine the research of sleeping beauty literature in order to excavate the frontier of subject research.[method / process] by drawing citation curves for 336 papers with high citation of library and information information, six types of citation curves were found: classic, exponential growth, multi-peak, waveform, sleeping beauty and exponential decline.The shape features of citation curves are analyzed, and the differences of citation curve features, citation network features and the distribution state of citation curves are analyzed by scale analysis method.[results / conclusion] it was found that some of the citation curves put forward by the Avramescu have appeared, and new citation curve types have appeared, such as "multi-peak citation curve", "waveform citation curve" and "exponential descending citation curve". (2) different research topics have been found, such as "multi-peak citation curve", "waveform citation curve" and "exponential descending citation curve".The citation curve features of high citation papers can be used to identify different research directions and different research teams.
【作者单位】：南昌大学管理学院信息管理系;
【基金】：江西省科技厅软科学项目“语义网络环境下高校学术资源质量与效率的因素分析”(编号:20161BBA 10065) 南昌大学研究生教学案例建设项目“面向学科热点分析的高被引论文特征的案例库建设”(编号:9202-0210210802)
【分类号】：G353.1

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