
This dataset is a Python dictionary containing multiple objects relating to the following walkthrough tutorial notebook: https://github.com/Jez-Carter/Bias_Correction_Application/blob/jupyterbook_render/walkthrough_tutorial/Walkthrough%20Tutorial.ipynb . The key components are the MCMC parameter inference outputs, which are obtained after non-insignificant computation involved with fitting the model to the input-data. The data is expected to be downloaded to use in the notebook, preventing the user from having to run the full inference themselves.
| 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 |
