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This release contains all functionalities described in the Genoppi paper: Greta Pintacuda*, Frederik H. Lassen*, Yu-Han H. Hsu*, April Kim*, Jacqueline M. Martín, Edyta Malolepsza, Justin K. Lim, Nadine Fornelos, Kevin C. Eggan, Kasper Lage. Genoppi is an open-source software for robust and standardized integration of proteomic and genetic data. Nature Communications 12, 2580 (2021). [https://doi.org/10.1038/s41467-021-22648-5]
| 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). | 1 | |
| 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 |
| views | 5 |

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