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Presentation of the TPDL 2019 demo paper "SciTo Trends: Visualising Scientific Topic Trends". SciTo Trends is a platform that facilitates exploration of scientific topic trends and provides intuitive infographics to showcase the topics' popularity trends. Full author list: Serafeim Chatzopoulos, Panagiotis Deligiannis, Thanasis Vergoulis, Ilias Kanellos, Christos Tryfonopoulos, Theodore Dalamagas
Topic Modeling, Information Retrieval, Scientific Impact
Topic Modeling, Information Retrieval, Scientific Impact
| 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 |
| views | 9 | |
| downloads | 19 |

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