Weng, C. et al. Deciphering cell states and genealogies of human haematopoiesis. Nature 627, 389–398 (2024). Article ADS CAS PubMed PubMed Central Google Scholar Ludwig, L. S. et al. Lineage tracing in humans enabled by mitochondrial mutations and single-cell genomics. Cell 176, 1325–1339.e22 (2019). Article CAS PubMed PubMed Central Google Scholar Chapman, M. et al.
Lareau, C. A., Chapman, M. S., Penter, L., Nawy, T. & Pe’er, D. Artefacts in single-cell mtDNA analyses misinform phylogenies. Nature https://doi.org/10.1038/s41586-026-10777-0 (2026). Article PubMed Google Scholar Weng, C. et al. Deciphering cell states and genealogies of human hematopoiesis. Nature 627, 389–398 (2024). Article CAS PubMed PubMed Central ADS Google Scholar Salk, J. J., Schmitt,
This figure displays the average CD5 index over time for six data sources and five different patent categories. The data sources are JSTOR (1,588,088 papers), the American Physical Society corpus (461,359 papers), Microsoft Academic Graph (random sample of 1,000,000 papers), and PubMed (1,563,211 papers). For reference, the Web of Science (22,479,429 papers) and PatentsView (2,926,923 patents) data sources are also included.
Holst, V., Algaba, A., Tori, F., Wenmackers, S. & Ginis, V. Dataset artefacts can partially drive the measured decline in disruption. Nature https://doi.org/10.1038/s41586-026-10787-y (2026). Article Google Scholar Park, M., Leahey, E. & Funk, R. J. Papers and patents are becoming less disruptive over time. Nature 613, 138–144 (2023). Article ADS CAS PubMed Google Scholar Wu,