The associations between scientific collaborations of LIS research and its policy impact
Zhihong Huang,
Qianjin Zong () and
Xuerui Ji
Additional contact information
Zhihong Huang: South China Normal University
Qianjin Zong: South China Normal University
Xuerui Ji: South China Normal University
Scientometrics, 2022, vol. 127, issue 11, No 20, 6453-6470
Abstract:
Abstract Being cited by policy documents is an important indicator for assessing the policy impact of research. The purpose of this paper was to examine the associations between an article's scientific collaborations and its citations received from policy documents. Research articles published between 2000 and 2018 in 86 journals under the category of “Information Science & Library Science” (LIS) in Journal Citation Reports 2020 were selected as the data sample (n = 40,137). The metadata of the articles was extracted from the Web of Science. The outcome variable of this study, policy citations of each article, were obtained from Overton (one of the largest policy citation databases). Standard negative binomial regression models and zero-inflated negative binomial regression models were conducted to examine the dataset. Linear regression models and six selected LIS journals were used to check the robustness of the results. The results revealed that the number of countries had significant and positive associations with policy citations (p
Keywords: Policy impact; Policy citation counts; Research collaborations; International collaborations; Citation analysis; Research impact (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)
Downloads: (external link)
http://link.springer.com/10.1007/s11192-022-04532-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:127:y:2022:i:11:d:10.1007_s11192-022-04532-1
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192
DOI: 10.1007/s11192-022-04532-1
Access Statistics for this article
Scientometrics is currently edited by Wolfgang Glänzel
More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().