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A tool for evaluation of internal validity of in vitro studies called INVITES-IN is currently under development. The tool is designed specifically for cell culture studies. This protocol describes the testing of the performance of INVITES-IN. By performance, we mean the extent to which results of using INVITES-IN are the same for different users (consistency), the amount of time and cognitive effort it takes to apply INVITES-IN (assessor workload), the precision and potential for systematic error in results of applying INVITES-IN (accuracy), and how easy it is to use INVITES-IN (user experience). The participants in the user testing will be representative for the expected end-users of INVITES-IN which are persons preparing literature reviews including in vitro studies (e.g. in the context of chemical hazard and risk assessments or drug development). All end-users are expected to have experience with in vitro methods. Data collected from the performance testing will be used for further refinement and development of the release version of INVITES-IN.
Funding: The Swiss State Secretariat for Education, Research and Innovation (SERI) under contract no. 22.00230
616, 617, Cell culture, Evidence-based toxicology, Risk of bias, User testing
616, 617, Cell culture, Evidence-based toxicology, Risk of bias, User testing
| 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). | 4 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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