Does the normalized citation impact of universities profit from certain properties of their published documents – such as the number of authors and the impact factor of the publishing journals? A multilevel modeling approach

作者：

Highlights：

• Studies have demonstrated that the probability of being cited depends on many factors (e.g., the number of authors).

• This study investigated the relationship between institutional normalized citation impact and factors with possible influences on citations.

• Factors studied are the journal impact factor, number of pages, number of authors, number of cited references.

• The multilevel regression models are based on papers published by 49 German universities in 2000, 2005, and 2010.

• The results point to weak relationships between institutional performance and the factors with possible influences on citations.

• Factors with possible influences on citations do not seem to be effective on the aggregated level.

摘要

•Studies have demonstrated that the probability of being cited depends on many factors (e.g., the number of authors).•This study investigated the relationship between institutional normalized citation impact and factors with possible influences on citations.•Factors studied are the journal impact factor, number of pages, number of authors, number of cited references.•The multilevel regression models are based on papers published by 49 German universities in 2000, 2005, and 2010.•The results point to weak relationships between institutional performance and the factors with possible influences on citations.•Factors with possible influences on citations do not seem to be effective on the aggregated level.

论文关键词：Multilevel model,Bibliometrics,University performance,Factors influencing citations (FICs)

论文评审过程：Received 9 July 2018, Revised 18 December 2018, Accepted 18 December 2018, Available online 28 December 2018, Version of Record 28 December 2018.

论文官网地址：https://doi.org/10.1016/j.joi.2018.12.007