APA (7th ed.) Citation

AR, K., MR, C., A, Z., JE, K., M, B., KJ, N., . . . JH, K. (2020). Dimensionality-reduction techniques for complex mass spectrometric datasets: Application to laboratory atmospheric organic oxidation experiments. Atmospheric chemistry and physics, 20(2), 1021. https://doi.org/10.5194/acp-20-1021-2020

Chicago Style (17th ed.) Citation

AR, Koss, et al. "Dimensionality-reduction Techniques for Complex Mass Spectrometric Datasets: Application to Laboratory Atmospheric Organic Oxidation Experiments." Atmospheric Chemistry and Physics 20, no. 2 (2020): 1021. https://doi.org/10.5194/acp-20-1021-2020.

MLA (9th ed.) Citation

AR, Koss, et al. "Dimensionality-reduction Techniques for Complex Mass Spectrometric Datasets: Application to Laboratory Atmospheric Organic Oxidation Experiments." Atmospheric Chemistry and Physics, vol. 20, no. 2, 2020, p. 1021, https://doi.org/10.5194/acp-20-1021-2020.