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For: Ainsbury EA, Vinnikov VA, Maznyk NA, Lloyd DC, Rothkamm K. A comparison of six statistical distributions for analysis of chromosome aberration data for radiation biodosimetry. Radiation Protection Dosimetry 2013;155:253-67. [DOI: 10.1093/rpd/ncs335] [Cited by in Crossref: 9] [Cited by in F6Publishing: 7] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Rothkamm K, Lloyd D. Established and Emerging Methods of Biological Dosimetry. Comprehensive Biomedical Physics. Elsevier; 2014. pp. 289-310. [DOI: 10.1016/b978-0-444-53632-7.00814-5] [Cited by in Crossref: 1] [Article Influence: 0.1] [Reference Citation Analysis]
2 Barnard S, Ainsbury EA, Al-hafidh J, Hadjidekova V, Hristova R, Lindholm C, Monteiro Gil O, Moquet J, Moreno M, Rößler U. The first gamma-H2AX biodosimetry intercomparison exercise of the developing European biodosimetry network RENEB. Radiat Prot Dosimetry. 2015;164:265-270. [PMID: 25118318 DOI: 10.1093/rpd/ncu259] [Cited by in Crossref: 36] [Cited by in F6Publishing: 39] [Article Influence: 4.5] [Reference Citation Analysis]
3 Endesfelder D, Kulka U, Einbeck J, Oestreicher U. Improving the accuracy of dose estimates from automatically scored dicentric chromosomes by accounting for chromosome number. Int J Radiat Biol 2020;96:1571-84. [PMID: 33001765 DOI: 10.1080/09553002.2020.1829152] [Reference Citation Analysis]
4 Ainsbury EA, Higueras M, Puig P, Einbeck J, Samaga D, Barquinero JF, Barrios L, Brzozowska B, Fattibene P, Gregoire E, Jaworska A, Lloyd D, Oestreicher U, Romm H, Rothkamm K, Roy L, Sommer S, Terzoudi G, Thierens H, Trompier F, Vral A, Woda C. Uncertainty of fast biological radiation dose assessment for emergency response scenarios. Int J Radiat Biol 2017;93:127-35. [PMID: 27572921 DOI: 10.1080/09553002.2016.1227106] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 2.7] [Reference Citation Analysis]
5 Oliveira M, Einbeck J, Higueras M, Ainsbury E, Puig P, Rothkamm K. Zero-inflated regression models for radiation-induced chromosome aberration data: A comparative study. Biom J 2016;58:259-79. [PMID: 26461836 DOI: 10.1002/bimj.201400233] [Cited by in Crossref: 25] [Cited by in F6Publishing: 16] [Article Influence: 3.6] [Reference Citation Analysis]
6 Ainsbury EA, Samaga D, Della Monaca S, Marrale M, Bassinet C, Burbidge CI, Correcher V, Discher M, Eakins J, Fattibene P, Güçlü I, Higueras M, Lund E, Maltar-Strmecki N, McKeever S, Rääf CL, Sholom S, Veronese I, Wieser A, Woda C, Trompier F. UNCERTAINTY ON RADIATION DOSES ESTIMATED BY BIOLOGICAL AND RETROSPECTIVE PHYSICAL METHODS. Radiat Prot Dosimetry 2018;178:382-404. [PMID: 28981844 DOI: 10.1093/rpd/ncx125] [Cited by in Crossref: 15] [Cited by in F6Publishing: 11] [Article Influence: 3.8] [Reference Citation Analysis]
7 Li L, Xiao R, Wang Q, Rong Z, Zhang X, Zhou P, Fu H, Wang S, Wang Z. SERS detection of radiation injury biomarkers in mouse serum. RSC Adv 2018;8:5119-26. [DOI: 10.1039/c7ra12238a] [Cited by in Crossref: 4] [Article Influence: 1.0] [Reference Citation Analysis]
8 Ainsbury EA, Vinnikov V, Puig P, Maznyk N, Rothkamm K, Lloyd DC. CytoBayesJ: software tools for Bayesian analysis of cytogenetic radiation dosimetry data. Mutat Res 2013;756:184-91. [PMID: 23792213 DOI: 10.1016/j.mrgentox.2013.06.005] [Cited by in Crossref: 14] [Cited by in F6Publishing: 10] [Article Influence: 1.6] [Reference Citation Analysis]