
doi: 10.1002/leap.1005
Key points Technological advances in the amounts of data that researchers generate and use are causing problems for the scholarly communication system. How, when and by whom should quality checks and assurance be integrated into this – already overloaded – ecosystem? This paper outlines the challenges, illustrates some current initiatives and posits possible directions for the future.
| 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). | 4 | |
| 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 |
