
This python script helps convert a user friendly excel datasheet for lifespan experiments to a Prism compatible format. The script expects an excel file with separate sheets for each strain/condition (see the Template for an example). Within each sheet, the script expects a minimum of 5 columns: TA, TD, TM, TE, and TB for Total Alive, Total Dead, Total Missing, Total Explode, and Total Bagged. Each row of this sheet should be a timepoint (adult age in days). The script will take the data in the 5 columns and convert it into a new excel that is compatible with Prism's survival format. Specifically, it will create a row for every dead, missing, explode, and bagged event for each condition and assign it 0 or 1, with 0 for censored animals and 1 for natural death. This reformatted data can be copy and pasted (or linked) into Prism for convenience.
| 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 |
