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2022 , Vol. 66 >Issue 20: 148 - 161

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.20.016

Novelty, Conventionality, and Scientific Impact of Papers in Library and Information Science in China:Evidence from Papers in CSSCI (2000-2019)

  • Liang Xingkun
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  • Department of Information Management, Peking University, Beijing 100871

Received date: 2022-08-01

  Revised date: 2022-09-21

  Online published: 2022-11-17

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Abstract

[Purpose/Significance] With papers in the field of library and information science in China, this study measures the novelty and conventionality of these papers and explores their effects on the scientific impacts of these papers, in order to reveal the law of scientific innovation in this field. [Method/Process] This paper adopted a variation of the Markov Chain Monte Carlo (MCMC) approach to measuring novelty and conventionality of 70 207 papers in library and information science (n=70 207) from the Chinese Social Science Citation Index (CSSCI) in two decades, specifically, from 2000 to 2019. With robust logistic regression, this paper examined the impacts of papers' novelty and conventionality on their papers' scientific impacts. [Result/Conclusion] The results show that, ceteris paribus, the novelty of a paper increases by 1 unit, the odds ratio of the paper becoming a highly cited paper increases by 11% (p<0.000 1), and the conventionality of a paper increases by 1 unit, and the odds ratio of the paper becoming a highly cited paper increases by 33% (p<0.000 1). The marginal effect analysis shows that papers with high novelty and conventionality are more likely to be highly cited papers than other types of papers. In addition, over time, the impact of novelty on the probability of a paper being highly cited gradually weakens, while the impact of conventionality gradually increases. Meanwhile, author team size has a significant effect on the novelty of the paper, and such a effect increases over time. These findings highlight the characteristics of scientific innovation in the field of library and information in China, and provide novel empirical evidence to understand the law of scientific innovation in the field of library and information in China. Last but not least, this paper, based on Bayesian statistics, also proposes an alternative method for informetrics.

Key words： novelty; conventionality; scientific impact; hit paper; paper citation; MCMC; team authors; Bayesian statistics

Cite this article

Liang Xingkun . Novelty, Conventionality, and Scientific Impact of Papers in Library and Information Science in China:Evidence from Papers in CSSCI (2000-2019)[J]. Library and Information Service, 2022 , 66(20) : 148 -161 . DOI: 10.13266/j.issn.0252-3116.2022.20.016

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