
Code associated to the paper:Gian Maria Zaccaria, Nicola Altini, Valentina Mongelli, Francescomaria Marino, Vitoantonio Bevilacqua, "Development and validation of a machine learning prognostic model based on an epigenomic signature in patients with pancreatic ductal adenocarcinoma", International Journal of Medical Informatics, 2025, 105883, ISSN 1386-5056, https://doi.org/10.1016/j.ijmedinf.2025.105883.
| 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 |
