
This presentation is a part of the McGill Data Anonymization Workshop Series organized by the McGill Digital Research Services. You may access the workshop recordings (in English & French) and additional resources (e.g., data anonymization FAQ & practical guides) on our webpage. Topics: Sensitive data, risk of re-identification and common techniques for anonymization and de-identification with quantitative data
data de-identification, data sharing, data anonymization
data de-identification, data sharing, data anonymization
| 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 |
