
The publication analysis of scientific articles, a fundamental link in the research process, has become the standard unit that allows the quality of the knowledge-generating process and its impact on the scientific environment to be qualified. This article describes the general aspects of the relationship between bibliometric studies and decision-making. Data about scientific activities is increasingly being used to govern science. Once individually designed for their specific context and carried out by peers, research evaluations are now routine and metric-based. The problem is that the assessment went from being based on an expert assessment to relying on these metrics. The opportunity to apply bibliometric techniques is valuable when making decisions that imply redirecting all research-development plans and selecting leaders capable of coordinating projects to generate technological and financial resources
| 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). | 32 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
