Downloads provided by UsageCounts
These data files provide the means to reproduce the key results from our paper: aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations. Portanova, J. Murray, N. Mower, J. Subramanian, D. Cohen, T. AMIA 2019. For the code, please visit https://github.com/treversec/aer2vec.git
{"references": ["aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations. Portanova, J. Murray, N. Mower, J. Subramanian, D. Cohen, T. AMIA 2019."]}
distributional semantics, word embeddings, pharmacovigilance, post-marketing surveillance, FAERS
distributional semantics, word embeddings, pharmacovigilance, post-marketing surveillance, FAERS
| 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 | 11 | |
| downloads | 6 |

Views provided by UsageCounts
Downloads provided by UsageCounts