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Using Fitness Value for Monitoring Kiwifruit’s Variant Seedling in Tissue Culture

Its Applications, Vol. 391, 2012, No 6, pp. 2193-2196. 17. Yang, X. F., J. Li, H. Pei et al. Pattern Recognition Analysis of Proteins Using DNADecorated Catalytic Gold Nanoparticles. - Small, Vol. 9, 2013, No 17, pp. 2844-2849. 18. Li, L. B., S. H. He, S. Li et al. A Closer Look at the Russian Roulette Problem: A Re-Examination of the Nonlinearity of the Prospect Theory’s Decision Weight pi. - International Journal of Approximate Reasoning, Vol. 50, 2009, No 3, pp. 515-520. 19. Li, Z., N. Wang, A Modified DNA Genetic

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Trends Analysis of Graphene Research and Development

University of California US 1,296 University 1994–2016 26% Band structure; Electric conductivity; Raman spectra Optical instruments; Thin film transistors; Ferroelectricity Nanyang Technological University SG 890 University 2001–2016 38% Raman spectra; Nanoparticles; Surface structure Transition metal; Encapsulation; Photoluminescence Tsinghua University CN 739 University 1998–2016 44% Raman spectra; Electric conductivity; Chemical vapor deposition Pore structure; Ion transport; Dielectric films Russian Academy of

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Insight into the Disciplinary Structure of Nanoscience & Nanotechnology

. Dastidar P.G. 2013 Citation analysis to reconstruct the dynamics of Antarctic ozone hole research and formulation of the Montreal Protocol Current Science 104 7 835 840 Porter, A.L., & Youtie, J. (2009). How interdisciplinary is nanotechnology? Journal of Nanoparticle Research, 11(5), 1023–1041. 10.1007/s11051-009-9607-0 Porter A.L. Youtie J. 2009 How interdisciplinary is nanotechnology? Journal of Nanoparticle Research 11 5 1023 1041 Porter, A.L., Youtie, J., Shapira, P., & Schoeneck, D.J. (2008). Refining search terms for nanotechnology

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Patent Citations Analysis and Its Value in Research Evaluation: A Review and a New Approach to Map Technology-relevant Research

fuel cells Scientometrics 100 1 149 171 Hu, D., Chen, H., Huang, Z., & Roco, M.C. (2007). Longitudinal study on patent citation to academic research articles in nanotechnology (1976–2004). Journal of Nanoparticle Research, 9(9), 529–542. 10.1007/s11051-007-9215-9 Hu D. Chen H. Huang Z. Roco M.C. 2007 Longitudinal study on patent citation to academic research articles in nanotechnology (1976–2004) Journal of Nanoparticle Research 9 9 529 542 Huang, M.H., Chen, D.Z., Shen, D.Q., Wang, M.S., & Ye, F.Y. (2015). Measuring technological performance

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Molecular dynamics simulation of aluminium melting

-dynamics simulation. Acta Materialia , 49, pp. 2713–2722. [10] Alavi, S., Thompson, D. L. (2006): Molecular dynamics simulations of the melting of aluminum nanoparticles. Journal of Physical Chemistry A , 110, pp. 1518–1523. [11] Puri, P., Yang, V. (2007): Effect of particle size on melting of aluminum at nano scales. Journal of Physical Chemistry C , 111, pp. 11776–11783. [12] Andersen, H. C. (1980): Molecular dynamics simulation at constant pressure and/or temperature. Journal of Physical Chemistry, 72, pp. 2384–2393. [13] Davey, W. P. (1925

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A Short Review of The Latest Developments in The Science of Thermoelectric Materials

References [1] Zhi-Gang C., Guang H., Lei Y., Lina C., Jin Z: Nanostructured Thermoelectric Materials: Current Research and Future Challenge . Progress in Natural Science: Materials International 22/6. (2012) 535-549. https://doi.org/10.1016/j.pnsc.2012.11.011 [2] Index Mundi: Motor Gasoline Consumption by Country . 2012. [3] Guang Han, Ruizhi Zhang, Srinivas R. Popuri, Greer H. F., Reece M. J., Bos J. W. G., Wuzong Zhou, Knox A. R., Gregory D. H.: Large-Scale Surfactant-Free Synthesis of p-Type SnTe Nanoparticles for Thermoelectric

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Citation performance of publications grouped by keywords, titles, and abstracts

performing word in abstracts, but it has the highest performance as a title word. Table 1 Consistency of year-adjusted performance of words in keywords, titles, and abstracts. Word YK YT YA Word YK YT YA Nanoparticles 1.35 1.81 1.66 Risk 0.86 1.26 1.25 Films 1.18 0.86 0.87 Trial 0.86 1.89 1.43 Mice 1.16 1.20 1.30 Impact 0.86 0.99 0.99 Activation 1.14 1.56 1.39 Infection 0.84 1.17 1.12 Gene 1.08 1.11 1.22 Dynamics 0.84 1.02 1

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