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The gene expression matrix was downloaded from BIGD-BioProject (https://bigd.big.ac.cn/bioproject/browse/PRJCA001063), originally published by Peng J, Sun BF, Chen CY, et al. Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma [published correction appears in Cell Res. 2019 Aug 13;:]. Cell Res. 2019;29(9):725-738. doi:10.1038/s41422-019-0195-y. We reprocessed the dataset using the Besca package (https://github.com/bedapub/besca).
{"references": ["Peng J, Sun BF, Chen CY, et al. Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma [published correction appears in Cell Res. 2019 Aug 13;:]. Cell Res. 2019;29(9):725-738. doi:10.1038/s41422-019-0195-y"]}
| 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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