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doi: 10.5281/zenodo.55774
The experiment extraxts statistical data from Google Youtube via the Youtube Data API v3. It analyses the video length und video publishing date to create statistical diagrams. The diagrams show how many and how long videos in an specifig timeframe are published. The experiment uses a PHP script to get the data from Youtube and save to save it in JSON files. The pChart 2 library is used to generate and save the digrams as PNG Images. The experiment is part of the course Digital Preservation on the TU Vienna.
| 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 | 2 | |
| downloads | 1 |

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