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In this study, we examine the causal link between preprint platforms and research impacts by examining a large sample of 5,434 published articles with preprints deposited on bioRxiv in 2018. We use a text-mining algorithm to match the treated sample to a control group of 8,019 similar articles without depositing preprints. By modeling the differences in citations in subsequent years between the treated and control groups, we establish a positive causal effect of self-archiving platforms on forward citations.
Altmetrics, PMRA, bioRxiv, Self-archiving Platforms
Altmetrics, PMRA, bioRxiv, Self-archiving Platforms
| 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 | 13 | |
| downloads | 13 |

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