Paper Info
Title
A probe into 66 factors which are possibly associated with the number of citations an article received
Abstract
The number of citations has been widely used for scientific evaluation of publications and even institutions and individual scientists. However, there is as yet no satisfactory consensus as to when and how citation metrics should be applied. Therefore, it is of great importance to comprehend the factors which influence citations. The purpose of this study is to identify more such factors in order to better understand the dynamics of citations. We first collected articles in Library & Information Science journals indexed by the Chinese Social Science Citation Index. Then, we established reliable schemes to identify and record a total of 66 candidate factors—related to articles, authors, references and citations—which had not been comprehensively studied before. Bivariate analysis was applied to explore the relationship between those factors and citations, and forward stepwise regression was used to select predictive factors. We found that 46 factors were significantly associated with citations, from which six most significant factors were selected by a regression model. Possible strategies were hence proposed for identifying high-quality and high-impact articles.
Year
DOI
Venue
2019
10.1007/s11192-019-03094-z
Scientometrics
Keywords
Field
DocType
Citations, Influencing factors, Author-related factors, Reference-related factors, Stepwise regression
Data mining,Stepwise regression,Computer science,Regression analysis,Information science,Citation index,Citation,Statistics,Bivariate analysis
Journal
Volume
Issue
ISSN
119
3
0138-9130
Citations 
PageRank 
References 
1
0.35
0
Authors
6
Name
Order
Citations
PageRank
Juan Xie131.05
Kaile Gong231.05
Jiang Li3223.50
Qing Ke431.41
Hyonchol Kang510.35
Ying Cheng683.31