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handle: 10871/133482
This working paper resulted from two (hybrid) workshops conducted in May and June 2022, chaired by Professor James Smithies (King’s College London) at the request of Tao-Tao Chang, AHRC Head of (Research) Infrastructure. The workshops were conceived and organised by Dr. Anna-Maria Sichani (AHRC Policy and Engagement Fellow), and hosted at The Alan Turing Institute. Contributors are listed in Appendix 4.
research software engineering, 620
research software engineering, 620
| 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). | 1 | |
| 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). | Top 10% | |
| 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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