
To the Editor: Since its invention 90 years ago, the p value has become the standard by which most quantitative research is judged; however, it was never intended for this purpose.[1][1] Indeed, a 2016 joint statement by the American Statistical Association argued, “By itself, a p value does not
Pharmaceutical Sciences, Biomedical Research, Models, Statistical, Data Interpretation, Statistical, Humans, Reproducibility of Results, Data Accuracy, Probability
Pharmaceutical Sciences, Biomedical Research, Models, Statistical, Data Interpretation, Statistical, Humans, Reproducibility of Results, Data Accuracy, Probability
| 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). | 19 | |
| 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. | Average |
