000130049 001__ 130049 000130049 005__ 20241125101150.0 000130049 0247_ $$2doi$$a10.1371/journal.pcbi.1011284 000130049 0248_ $$2sideral$$a136333 000130049 037__ $$aART-2023-136333 000130049 041__ $$aeng 000130049 100__ $$aSebastián-González, Esther 000130049 245__ $$aTen simple rules for a mom-friendly Academia 000130049 260__ $$c2023 000130049 5060_ $$aAccess copy available to the general public$$fUnrestricted 000130049 5203_ $$aWomen (and all gender-discriminated people) are underrepresented in science, especially in leadership positions and higher stages of the scientific career. One of the main causes of career abandonment by women is maternity, with many women leaving Academia after having their first child because of the career penalties associated with motherhood. Thus, more actions to help scientific moms to balance family and academic work are urgently needed to increase representation of women and other gender discriminated people in Academia. Besides mothers, these rules may also benefit other groups such as mothers-to-be, fathers, caregivers, and women in general. Increasing women representation in science, including mothers, is critical because equality is a fundamental right, and because more diverse working environments are more productive and get to more optimal solutions. Here, we describe 10 simple rules that can be adopted in Academia to halt the abandonment of scientific careers by women after motherhood. We strongly encourage their implementation to increase gender diversity and equality in science. 000130049 536__ $$9info:eu-repo/grantAgreement/ES/MICINN CEX2021-001198$$9info:eu-repo/grantAgreement/ES/MICINN RYC-2017-22796$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027216-I$$9info:eu-repo/grantAgreement/ES/MICINN/RYC2019-027247-I 000130049 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/ 000130049 590__ $$a3.8$$b2023 000130049 592__ $$a1.652$$b2023 000130049 591__ $$aMATHEMATICAL & COMPUTATIONAL BIOLOGY$$b11 / 66 = 0.167$$c2023$$dQ1$$eT1 000130049 593__ $$aCellular and Molecular Neuroscience$$c2023$$dQ1 000130049 591__ $$aBIOCHEMICAL RESEARCH METHODS$$b15 / 85 = 0.176$$c2023$$dQ1$$eT1 000130049 593__ $$aComputational Theory and Mathematics$$c2023$$dQ1 000130049 593__ $$aEcology$$c2023$$dQ1 000130049 593__ $$aMolecular Biology$$c2023$$dQ1 000130049 593__ $$aGenetics$$c2023$$dQ1 000130049 593__ $$aModeling and Simulation$$c2023$$dQ1 000130049 593__ $$aEcology, Evolution, Behavior and Systematics$$c2023$$dQ1 000130049 594__ $$a7.1$$b2023 000130049 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion 000130049 700__ $$aGraciá, Eva 000130049 700__ $$aMorán-Ordóñez, Alejandra 000130049 700__ $$0(orcid)0000-0003-0715-0418$$aPérez-Ibarra, Irene$$uUniversidad de Zaragoza 000130049 700__ $$aSanz-Aguilar, Ana 000130049 700__ $$aSobral, Mar 000130049 7102_ $$15011$$2235$$aUniversidad de Zaragoza$$bDpto. CC.Agrar.y Medio Natural$$cÁrea Econom.Sociol.Polit.Agra. 000130049 773__ $$g19, 8 (2023), e1011284 [12 pp.]$$pPLoS Comput. Biol.$$tPLOS COMPUTATIONAL BIOLOGY$$x1553-734X 000130049 8564_ $$s426865$$uhttps://zaguan.unizar.es/record/130049/files/texto_completo.pdf$$yVersión publicada 000130049 8564_ $$s2511183$$uhttps://zaguan.unizar.es/record/130049/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada 000130049 909CO $$ooai:zaguan.unizar.es:130049$$particulos$$pdriver 000130049 951__ $$a2024-11-22-12:06:34 000130049 980__ $$aARTICLE