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Global mapping of scientific information exchange using altmetric data

Author

Listed:
  • Hyo Chan Park

    (Yeungnam University)

  • Jonghee M. Youn

    (Yeungnam University)

  • Han Woo Park

    (Yeungnam University)

Abstract

This study seeks to provide new insights into a hidden pattern in the cross-national scholarly network structure from an altmetric perspective. We investigate and visualize the dynamic and complex nature of altmetric-based referrals using a social network algorithm that measures societal use (via Twitter) and scientific impact (via Mendeley). We also use a variety of network indices and a QAP (quadratic assignment procedure) to validate the structural relationships between inter-country sharing networks. Finally, we identify several groups including Asia, Europe, and North America through a transcontinental sharing analysis. The findings suggest that policymakers need to track the international routes of word-of-mouth, which constitute socially mediated data-sharing, regarding scientific publications.

Suggested Citation

  • Hyo Chan Park & Jonghee M. Youn & Han Woo Park, 2019. "Global mapping of scientific information exchange using altmetric data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 935-955, March.
    • Handle: RePEc:spr:qualqt:v:53:y:2019:i:2:d:10.1007_s11135-018-0797-3
    DOI: 10.1007/s11135-018-0797-3
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    References listed on IDEAS

    as
    1. Gohar Feroz Khan & Sungjoon Lee & Ji Young Park & Han Woo Park, 2016. "Theories in communication science: a structural analysis using webometrics and social network approach," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(2), pages 531-557, August.
    2. Smil, Vaclav, 2013. "Made in the USA," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262019388, December.
    3. Leonid Gokhberg & Dirk Meissner, 2013. "Innovation: Superpowered invention," Nature, Nature, vol. 501(7467), pages 313-314, September.
    4. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    5. Kim Holmberg & Han Woo Park, 2018. "An altmetric investigation of the online visibility of South Korea-based scientific journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 603-613, October.
    6. Seyed Mohammad Jafar Jalali & Han Woo Park, 2018. "State of the art in business analytics: themes and collaborations," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 627-633, March.
    7. Bornmann, Lutz, 2014. "Do altmetrics point to the broader impact of research? An overview of benefits and disadvantages of altmetrics," Journal of Informetrics, Elsevier, vol. 8(4), pages 895-903.
    8. Chung Joo Chung & Han Woo Park, 2012. "Web visibility of scholars in media and communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 93(1), pages 207-215, October.
    9. Graham, Loren, 2013. "Lonely Ideas: Can Russia Compete?," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262019795, December.
    10. Muhammad Omar & Arif Mehmood & Gyu Sang Choi & Han Woo Park, 2017. "Global mapping of artificial intelligence in Google and Google Scholar," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1269-1305, December.
    11. Hyejin Park & Han Woo Park, 2018. "Research evaluation of Asian countries using altmetrics: comparing South Korea, Japan, Taiwan, Singapore, and China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 771-788, November.
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