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This is a single cell transcriptomics dataset containing 2488 cells by 21246 features from T2D and healthy controls in human. Originally downloaded from https://www.ebi.ac.uk/arrayexpress/experiments/E-MTAB-5061/. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).
{"references": ["Segerstolpe \u00c5, Palasantza A, Eliasson P, et al. Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes. Cell Metab. 2016;24(4):593-607. doi:10.1016/j.cmet.2016.08.020"]}
citations 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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