| 李贺,解梦凡,袁翠敏,余璐.用无参数指标Bcp识别睡美人文献及其作者动态h指数变化规律[J].中国图书馆学报,2018,44(6):75~89 |
| Using the Non parameter Index Bcp to Identify Sleeping Beauty Literature and Exploring the Changing Law of its Authors Dynamic h Index |
| 用无参数指标Bcp识别睡美人文献及其作者动态h指数变化规律 |
| Received:April 15, 2018 Revised:June 25, 2018 |
| DOI： |
| Key words:Sleeping Beauty literature Time distribution Dynamic h index Author's influence Bcp index |
| 中文关键词: 睡美人文献 时间分布 动态h指数 作者影响力 Bcp指数 |
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| Abstract: |
The study of the identification of Sleeping Beauty literature and the dynamic law of the author's h index can observe the Sleeping Beauty literature from multiple dimensions and provide important reference value for the exploration of the awakening elements of Sleeping Beauty literature from the perspective of author's influence. In this paper, firstly, combining Van Raan's parameter standard and non parameter index Bcp as the theoretical basis, we constructed a standard of Sleeping Beauty literature recognition based on non parameter index Bcp. Secondly,according to the Bcp index and the standard established above, the Sleeping Beauty literature in the three journals of Science, Natureand PNASwas identified as a research sample, from which the representative Sleeping Beauty literature of high Bcp index was screened to explore the dynamic growth law of the author's h index. The results show:1) according to the Bcp identification standard, 558 papers of Sleeping Beauty literature are identified, which are about 2.383% of the total sample. Considering various factors such as different literature sources, expansion of time range and the curve's overall trend, this result slightly increases by 1% compared with the ratio 1.29% identified by Li Jiang, which can prove the standard created before is feasible. 2) The publishing and awakening of Sleeping Beauty literature have a centralized distribution rule in phases. The emergence and wake up period of Sleeping Beauty literature between 1960 and 2007 can be respectively divided into three stages, and each has a corresponding mapping relationship, but the chronological order is different. The positive sequence of the wake up period corresponds to the reverse order of the publication period. 3) The h index curves of most Sleeping Beauty literature authors show linear growth trends. And there are three most prominent growth slopes, which are 30, 45 and 60 degrees. During the period from publication to wake up, the gains of h indexes are mostly at 8-12, which shows the author's influence is moderate. It can be inferred the improvement of the author's influence is one of the awakening elements of the Sleeping Beauty literature,but not an important or the only factor, which is consistent with previous studies. 4) Some typical “Sleeping Beauty authors” are found in this study with a special rising law of dynamic h index curves. Their growth processes are mainly divided into two stages, starting from the publication date, and leaping at the year of Sleeping Beauty literature awakened. The early h index is basically at a continuous low level with the value of 0-2, then it shows a rapid leap after their corresponding Sleeping Beauty literature awakened. It can be seen that the trends of these authors h index are not simple linear growth, but coincides with that of the Sleeping Beauty literature citation curves. In such a trend, the rise of h index after the awakening of Sleeping Beauty literature can deduce that the arousal elements of this type of Sleeping Beauty literature do not include the author's influence.
The data collection in this paper is limited to 1960-2007. For the earlier Sleeping Beauty literature, the rule of authors h index cannot be speculated. Secondly, the identification criteria for non parameter indicators needs to be further improved by finding other theoretical basis, and further research on different awakening elements of Sleeping Beauty literature can be carried out. 6 figs1 tab35 refs |
| 中文摘要: |
识别睡美人文献,发现其作者的动态h指数变化规律,可多维度观察睡美人文献,并从作者影响力角度探索睡美人文献的唤醒要素。本文结合识别睡美人文献的参数标准与无参数指标Bcp的计算方法,建立了基于Bcp无参数指标的睡美人文献识别标准,依据Bcp指数的计算和Bcp无参数指标识别标准,识别出Science、Nature和PNAS三大期刊高被引文献中的睡美人文献作为研究样本,并从中筛选高Bcp指数的代表性睡美人文献,探讨其作者影响力指标h指数的动态变化规律。研究结果表明:根据Bcp识别标准的睡美人文献比例为238%,与前人研究的比例比较吻合,该标准被验证具有可行性；睡美人文献的出现与唤醒时间分布规律具有阶段性特征,且各阶段相互对应,但先后顺序不同；睡美人文献作者历年动态h指数曲线整体呈线性趋势；存在部分具有特殊上升规律的动态h指数曲线的典型“睡美人作者”。图6。表1。参考文献35。
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