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The findings reported here have been obtained in the framework of CLS INFRA’s Work Package 3 concerned with “Methodological Considerations of Computational Literary Studies” (WP3). The overarching objective of WP3 is to identify, document and show-case current shared practices in CLS research. This objective supports several purposes, among them guiding infrastructure development, defining training opportunities, and consolidating the CLS community. Specifically, one can deduct infrastructure requirements from such findings and feed them to other work packages within the project, in order to ensure that decisions taken when designing a research infrastructure for the CLS community are informed by these requirements.1 Also, such a documentation of current shared practices can help design a useful training programme both for scholars who are newly entering the field and for more experienced researchers. In addition, it can help consolidate the CLS community by making shared research practices visible. Within WP3, the first step to identify, document and show-case best practices in CLS research is to capture the current state of the art in terms of widespread research practices in CLS. Task 3.1 on the “Baseline Methodological User Needs Analysis” is devoted to this aim.
| 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 |
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