
Dataset from an exploratory scoping review examining the intersection of quantum computing and biodiversity research. Includes 283 studies identified through AI-assisted screening (ASReview LAB) of 1,649 records from OpenAlex, arXiv, PubMed, Europe PMC, and Semantic Scholar. Screening used inclusive criteria to identify both direct applications and biodiversity studies with potential for quantum computing approaches.
Ecology, FOS: Biological sciences, Machine learning, Quantum computers, Systematic Reviews as Topic/methods, Biodiversity, Conservation
Ecology, FOS: Biological sciences, Machine learning, Quantum computers, Systematic Reviews as Topic/methods, Biodiversity, Conservation
| 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 |
