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The associations between scientific collaborations of LIS research and its policy impact

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  • Zhihong Huang

    (South China Normal University)

  • Qianjin Zong

    (South China Normal University)

  • Xuerui Ji

    (South China Normal University)

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

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  • Zhihong Huang & Qianjin Zong & Xuerui Ji, 2022. "The associations between scientific collaborations of LIS research and its policy impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6453-6470, November.
    • Handle: RePEc:spr:scient:v:127:y:2022:i:11:d:10.1007_s11192-022-04532-1
    DOI: 10.1007/s11192-022-04532-1
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    2. Qianjin Zong & Zhihong Huang & Jiaru Huang, 2023. "Can open access increase LIS research’s policy impact? Using regression analysis and causal inference," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4825-4854, August.

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