
This data set contains the training data for the following three published Transkribus models: German Incunabula (Reichenau) Latin Incunabula (Reichenau) Latin/German Bilingual Incunabula (Reichenau) This model is trained to recognize the Gothic and Antiqua typefaces found in Latin incunabula and early prints. The Ground Truth used to train and evaluate this models is based on a collection of incunabula and post-incunabula of the former Reichenau monastery, now held at the Badische Landesbibliothek in Karlsruhe. It was developed by the project Digitalisierung und Volltexterkennung der ehemals Reichenauer Inkunabeln at the Badische Landesbibliothek, which was funded by the Stiftung Kulturgut Baden-Württemberg.
| 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 |
