
This data repository provides trained model weights and detailed prediction results for each dataset. It is part of the following Github repo. You can access the preprint version on Medrxiv. dataset_name.zip: It contains trained model weights for each encoder/decoder network with 3 different seed. csv_files_predictions.zip: It includes detailed image-based prediction results for each dataset and model. Each file named as {datasetname}_test_{modelname}_seed_{seedno}.csv
| 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 |
