
This work was supported by the Basic Science Research Program through the National Research Foundation (NRF) of Korea funded by the Ministry of Science and ICT (MSIT) [RS-2023-00261903 and RS-2024-00348305 to Y.-s.L.]; and funded by the Ministry of Education [RS-2025-25404480 to S.h.K and C.-y.L.]. This work is also supported by the Korean Fund for Regenerative Medicine (KFRM) grant funded by the Korea government (the Ministry of Science and ICT, the Ministry of Health & Welfare) [RS-2023-00215560 to Y.-s.L.]; and the Korea Bio Data Station (K-BDS) with computing resources including technical support [Y.-s.L.].
A set of genetic variants based on the PseudoDB.
| 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 |
