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Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approach

Author

Listed:
  • Yaxue Ma

    (Nanjing University
    Jiangsu Key Laboratory of Data Engineering and Knowledge Service
    Wuhan University)

  • Zhichao Ba

    (Nanjing University of Science and Technology)

  • Yuxiang Zhao

    (Nanjing University of Science and Technology)

  • Jin Mao

    (Wuhan University)

  • Gang Li

    (Wuhan University)

Abstract

Social media platforms have had an enormous impact on the dissemination of scientific work and have fared well in covering scientific papers. However, little is known about the general dissemination process from academia to social media and how various factors affect the dissemination of scientific papers at different stages. In this paper, we proposed a two-staged dissemination process to profile the diffusion of scientific papers from academia to social media. A two-step simultaneous equation modeling–artificial neural network approach was adopted to predict the retweet scale of scientific papers on Twitter by combining source-related and content-related factors. The analysis in the field of oncology suggests that the artificial neural network algorithm (ANN) with the input units generated from the simultaneous equation model (3SLS) can predict the retweet scale of scientific papers on Twitter with an accuracy of 78.05%. According to the normalized importance obtained from the ANN, we found that most factors related to the information source play critical roles in promoting the dissemination of scientific papers. The number of first-generation tweets has the most remarkable impact on subsequent dissemination. As for the content-related predictors, tweets attached with more URLs can provide richer information for audiences, thereby increasing the retweet scale of scientific papers. Besides, the influence of research topics on dissemination varies with different audiences. The findings of this study contribute to the literature on the dissemination of scientific papers beyond academia and provide practical implications for scholarly communication.

Suggested Citation

  • Yaxue Ma & Zhichao Ba & Yuxiang Zhao & Jin Mao & Gang Li, 2021. "Understanding and predicting the dissemination of scientific papers on social media: a two-step simultaneous equation modeling–artificial neural network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7051-7085, August.
    • Handle: RePEc:spr:scient:v:126:y:2021:i:8:d:10.1007_s11192-021-04051-5
    DOI: 10.1007/s11192-021-04051-5
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    as
    1. Houqiang Yu, 2017. "Context of altmetrics data matters: an investigation of count type and user category," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(1), pages 267-283, April.
    2. Sahar Vahdati & Said Fathalla & Christoph Lange & Andreas Behrend & Aysegul Say & Zeynep Say & Sören Auer, 2021. "A comprehensive quality assessment framework for scientific events," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(1), pages 641-682, January.
    3. Fereshteh Didegah & Mike Thelwall, 2013. "Determinants of research citation impact in nanoscience and nanotechnology," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(5), pages 1055-1064, May.
    4. Raheem Sarwar & Afifa Zia & Raheel Nawaz & Ayman Fayoumi & Naif Radi Aljohani & Saeed-Ul Hassan, 2021. "Webometrics: evolution of social media presence of universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 951-967, February.
    5. Bornmann, Lutz & Leydesdorff, Loet, 2017. "Skewness of citation impact data and covariates of citation distributions: A large-scale empirical analysis based on Web of Science data," Journal of Informetrics, Elsevier, vol. 11(1), pages 164-175.
    6. Xianwen Wang & Zhichao Fang & Xinhui Guo, 2016. "Tracking the digital footprints to scholarly articles from social media," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 1365-1376, November.
    7. Saeed-Ul Hassan & Naif R. Aljohani & Mudassir Shabbir & Umair Ali & Sehrish Iqbal & Raheem Sarwar & Eugenio Martínez-Cámara & Sebastián Ventura & Francisco Herrera, 2020. "Tweet Coupling: a social media methodology for clustering scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 973-991, August.
    8. Fei Shu & Wen Lou & Stefanie Haustein, 2018. "Can Twitter increase the visibility of Chinese publications?," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(1), pages 505-519, July.
    9. Fereshteh Didegah & Mike Thelwall, 2013. "Determinants of research citation impact in nanoscience and nanotechnology," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(5), pages 1055-1064, May.
    10. Adam Marcus & Ivan Oransky, 2011. "The paper is not sacred," Nature, Nature, vol. 480(7378), pages 449-450, December.
    11. Dorte Drongstrup & Shafaq Malik & Naif Radi Aljohani & Salem Alelyani & Iqra Safder & Saeed-Ul Hassan, 2020. "Can social media usage of scientific literature predict journal indices of AJG, SNIP and JCR? An altmetric study of economics," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 1541-1558, November.
    12. Éric Archambault & Vincent Larivière, 2009. "History of the journal impact factor: Contingencies and consequences," Scientometrics, Springer;Akadémiai Kiadó, vol. 79(3), pages 635-649, June.
    13. Bornmann, Lutz, 2014. "Validity of altmetrics data for measuring societal impact: A study using data from Altmetric and F1000Prime," Journal of Informetrics, Elsevier, vol. 8(4), pages 935-950.
    14. Didegah, Fereshteh & Mejlgaard, Niels & Sørensen, Mads P., 2018. "Investigating the quality of interactions and public engagement around scientific papers on Twitter," Journal of Informetrics, Elsevier, vol. 12(3), pages 960-971.
    15. Saeed-Ul Hassan & Timothy D. Bowman & Mudassir Shabbir & Aqsa Akhtar & Mubashir Imran & Naif Radi Aljohani, 2019. "Influential tweeters in relation to highly cited articles in altmetric big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(1), pages 481-493, April.
    16. Marzieh Abolhassani & Seçil Hülya Danakol, 2019. "Wage and competition channels of foreign direct investment and new firm entry," Small Business Economics, Springer, vol. 53(4), pages 935-960, December.
    17. Cassidy R. Sugimoto & Sam Work & Vincent Larivière & Stefanie Haustein, 2017. "Scholarly use of social media and altmetrics: A review of the literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2037-2062, September.
    18. Jie Zhao & Chanjuan Zhu & Zhixiang Peng & Xin Xu & Yan Liu, 2018. "User Willingness toward Knowledge Sharing in Social Networks," Sustainability, MDPI, vol. 10(12), pages 1-27, December.
    19. Hadas Shema & Judit Bar-Ilan & Mike Thelwall, 2015. "How is research blogged? A content analysis approach," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(6), pages 1136-1149, June.
    20. Zohreh Zahedi & Rodrigo Costas & Paul Wouters, 2014. "How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1491-1513, November.
    21. Saeed-Ul Hassan & Mubashir Imran & Uzair Gillani & Naif Radi Aljohani & Timothy D. Bowman & Fereshteh Didegah, 2017. "Measuring social media activity of scientific literature: an exhaustive comparison of scopus and novel altmetrics big data," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1037-1057, November.
    22. Moting Su & Zongyi Zhang & Ye Zhu & Donglan Zha, 2019. "Data-Driven Natural Gas Spot Price Forecasting with Least Squares Regression Boosting Algorithm," Energies, MDPI, vol. 12(6), pages 1-13, March.
    23. Stefanie Haustein & Isabella Peters & Cassidy R. Sugimoto & Mike Thelwall & Vincent Larivière, 2014. "Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(4), pages 656-669, April.
    24. Rodrigo Costas & Zohreh Zahedi & Paul Wouters, 2015. "Do “altmetrics” correlate with citations? Extensive comparison of altmetric indicators with citations from a multidisciplinary perspective," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(10), pages 2003-2019, October.
    25. Sune Lehmann & Andrew D. Jackson & Benny E. Lautrup, 2008. "A quantitative analysis of indicators of scientific performance," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(2), pages 369-390, August.
    26. Anwar Said & Timothy D. Bowman & Rabeeh Ayaz Abbasi & Naif Radi Aljohani & Saeed-Ul Hassan & Raheel Nawaz, 2019. "Mining network-level properties of Twitter altmetrics data," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 217-235, July.
    27. Jinlou Zhao & Hongyu Gao & Yongli Li & Jiaguo Liu, 2017. "Which factors affect the duration of hot topics on social media platforms?," Quality & Quantity: International Journal of Methodology, Springer, vol. 51(5), pages 2395-2407, September.
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