How the high-impact papers formed? A study using data from social media and citation
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How the high‑impact papers formed? A study using data from social media and citation Jianhua Hou1 · Da Ma1 Received: 18 May 2020 / Accepted: 31 August 2020 © Akadémiai Kiadó, Budapest, Hungary 2020
Abstract Research on the formation structure and characteristics of top-impact papers can serve as the basis for the construction of social media-based information communication pattern, and guide papers to gain high attention in both the Internet and academia. In this study, we used the analytic hierarchy process (AHP) to assign index weights for comprehensive impact (CI) and uses this to determine high-impact papers (HIP). By analyzing evaluation indexes and text attributes, as well as by comparing the characteristics of high-citation papers (HCPs) and HIPs, we elucidated the mechanism of HIPs formation. For this, we extracted all data (2630 articles) from PLoS Biology (2009–2018) as our objects of analysis. In addition, a structural diagram was used to summarize the results. The study results revealed that academic and social impacts of HIPs are interdependent and complementary. The indicators’ variation frequency and amplitude of HIPs are far higher than those of HCPs. Two indicators are constituting the direct impact source for HIPs. Redundant keyword and title do not significantly contribute to the impact of the paper. Under a moderate number of conditions, the more collaborative the paper, the more it is recommended and communicated. Although citation remains the most widely accepted index of a paper, researchers should not ignore the impact of papers via social media. Keywords Altmetrics · Social media · Knowledge diffusion · High-impact papers (HIPs) · High-citation papers (HCPs)
Introduction With rapid developments in information technology, the way researchers access scholarly works and disseminate scientific discoveries has undergone dramatic change. Questions are being asked of formal scientific communication methods at the same time as more informal, and open communication channels proliferate; this development has allowed access to * Jianhua Hou [email protected] Da Ma [email protected] 1
School of Information Management, Sun Yat-Sen University, No.132, Waihuan East Road, Guangzhou Higher Education Mega Center, Panyu District, Guangzhou 510006, P. R. China
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Vol.:(0123456789)
Scientometrics
(and extensive discussion and vetting of) research papers through online communication and social media (Ezema and Ugwu 2019). In the process, a large volume of data on user behavior has accumulated (Tuke et al. 2019; Zarrinkalam et al. 2018); these data can be used for social media research (Fei and Haustein 2017; Stamatelatos et al. 2020) but also offer new perspectives on measurements of a paper’s influence (Bornmann et al. 2019; Chi et al. 2019; Neylon and Wu 2009). Generally, scientific authority was acknowledged via journal citations, which in turn became the key measure of a paper’s influence (Thelwall and Nevill 2018). Social media now offer advantages that potentially surpass those of j
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