高被引论文的论文级计量分析

ALMs Analysis of the Most Highly Cited Articles

[目的/意义]为评价数字时代的学术影响力,阐述论文级计量的可信度与可行性。研究SCI引文数量和选择性计量学指标之间的关系,反映学术在社交媒体环境下看得见的社会影响力。[方法/过程]案例选自科学图书馆(PLo S)期刊引用次数超过100次的论文,对PLo S论文级计量(ALMs)的指标(Facebook提及量、PLOS评论量、Cite ULike标注量、Pub M ed浏览量)进行正态性检验,通过Spearman相关分析方法得到各指标相关系数矩阵,绘制了矩阵散点图。[结果/结论]研究表明:引用次数与Facebook提及量、PLo S评论量呈弱相关(相关系数分别为0.042,0.046);与Cite ULike标引量成中度相关(相关系数为0.252);与Pub M ed阅读量成强正相关(相关系数为0.750),首次报道了SCI引用量与Pub M ed阅读量、PLo S评论量之间的相关性。

[Purpose / Significance] In order to measure the academic impact in the digital age,w e analyze the credibility and feasibility of Article- Level M etrics（ ALM s）. The main purpose of this study is to check the correlation between SCI citation counts and altmetrics value,reflect primarily the societal impact of scholarly research in social media environment. [Method / Process] The study is based on a sample of 1,938 Public Library of Science（ PLoS） journal articles cited over 100 times. The data set includes four altmetrics provided by PLo S ALMs（ Facebook,Cite ULike,PubMed views,PLoS comments）,after the normality test for four altmetric indicators through the Spearman correlation analysis,we got the nonparametric correlation coefficient matrix,drew the scatter- plot matrix. [Result / Conclusion] The research findings indicate that there is a weak correlation（ 0. 042） between citation counts and Facebook posts for the full data set,a medium correlation（ 0. 046） with PLoS Comments,a moderate correlation（ 0. 252） with PLo S comments,and a strong positive correlation（ 0. 750） with Pub Med view s. The paper reports correlation between SCI citation counts and Pub M ed view s,PLo S comments for the first time.