Literature-related discovery: common factors for Parkinson’s Disease and Crohn’s Disease
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DOI: 10.1007/s11192-014-1298-3
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Cited by:
- Andrej Kastrin & Dimitar Hristovski, 2021. "Scientometric analysis and knowledge mapping of literature-based discovery (1986–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1415-1451, February.
- Zhang, Yi & Robinson, Douglas K.R. & Porter, Alan L. & Zhu, Donghua & Zhang, Guangquan & Lu, Jie, 2016.
"Technology roadmapping for competitive technical intelligence,"
Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 175-186.
- Yi Zhang & Douglas K. R. Robinson & Alan L. Porter & Donghua Zhu & Guangquan Zhang & Jie Lu, 2015. "Technology roadmapping for competitive technical intelligence," Post-Print hal-01276909, HAL.
- Lv, Yanhua & Ding, Ying & Song, Min & Duan, Zhiguang, 2018. "Topology-driven trend analysis for drug discovery," Journal of Informetrics, Elsevier, vol. 12(3), pages 893-905.
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Keywords
Literature-related discovery; Text mining; Scientometrics; Parkinson’s Disease; Crohn’s Disease; Neurodegeneration; Autoimmunity; Inflammation;All these keywords.
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