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Summary: {LINK} A full description of the experiment is available at {LINK}. Python code for manipulating the data is available at https://github.com/plcrodrigues/py.BI.EEG.2015b-GIPSA. The ID of this dataset is bi2015b. Full description of the experiment and dataset: {LINK} Investigators: Eng. Louis Korczowski, B. Sc. Martine Cederhout Technical Support: Eng. Anton Andreev, Eng. Grégoire Cattan, Eng. Pedro. L. C. Rodrigues, M. Sc. Violette Gautheret Scientific Supervisor: Ph.D. Marco Congedo ID of the dataset: bi2015b
| 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 |
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| downloads | 44 |

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