Views provided by UsageCounts
A fundamental challenge for open science is how best to share the code and data used to produce the analysis, tables, and figures contained in a publication. Fortunately, new tools are emerging to address this problem. This workshop will introduce a solution that utilizes widely used open source components. We'll create a "compilable" document containing text and bibliography, as well as all the code needed to create the graphs and tables. We'll demonstrate how the process facilitates making revisions when data changes or in response to reviewer recommendation and the ease with which work can be shared pre or post publication. The following tools will be introduced: RStudio Markdown Zotero BibTex GitHub
| 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 | 2 |

Views provided by UsageCounts