
Electronic Supplementary Information for ACS Appl. Mater. Interfaces 2024, 16, 5, 5696–5707 Please cite the following work, if you find this data and/or code useful: Machine Learning-Assisted Optimization of Drug Combinations in Zeolite-Based Delivery Systems for Melanoma Therapy Ana Raquel Bertão, Filipe Teixeira, Viktoriya Ivasiv, Pier Parpot, Cristina Almeida-Aguiar, António M. Fonseca, Manuel Bañobre-López, Fátima Baltazar, and Isabel C. Neves ACS Applied Materials & Interfaces 2024 16 (5), 5696-5707 DOI: 10.1021/acsami.3c18224
| 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 |
