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{"references": ["K.-M. Oksman-Caldentey, D. Inze, M. Oresic, Connecting genes to metabolites by a systems biology approach, Proc. Natl. Acad. Sci. 101 (2004) 9949\u20139950.", "O. Fiehn, Metabolomics - the link between genotypes and phenotypes, Plant Mol. Biol. 48 (2002) 155\u201371.", "S.P. Putri, S. Yamamoto, H. Tsugawa, E. Fukusaki, Current metabolomics: technological advances. J. Biosci. Bioeng. 116 (2013) 9\u201316.", "S.P. Putri, Y. Nakayama, F. Matsuda, T. Uchikata, S. Kobayashi, A. Matsubara, E. Fukusaki, Current metabolomics: Practical applications, J. Biosci. Bioeng. 115 (2013) 579\u2013589."]}
Resumen de la publicación de una participación en formato µVídeo en en el congreso Divulga NextGen (1ª edición) que se celebrará online, de manera gratuita y en las redes sociales los días 26, 27 y 28 de mayo de 2021.
Metabolómica; Metabolitos; LC-MS; GC-MS; RMN
Metabolómica; Metabolitos; LC-MS; GC-MS; RMN
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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