ArticleScientific reports2023
Mapping sexual dimorphism signal in the human cranium.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The mastoid triangle (Ma-Ast-Po) as a sexually dimorphic feature - a systematic review of 1604 human skulls and meta-analysis.Forensic science, medicine, and pathology · 2025Pooled it
- Computed tomography assessment of neurocranial structures for sexual dimorphism identification: a meta-analysis.International journal of legal medicine · 2025Pooled it
- Applicability of handheld laser scanning for nonmetric skeletal assessment in biological profile estimation: a preliminary two-case study.International journal of legal medicine · 2026Article
- Two-group interlandmark distance analysis for skeletal sex estimation using resampling and posterior probability contour plots.International journal of legal medicine · 2026Article
- Role of ethnicity in the determination of the transverse sigmoid sinus Junction (TSSJ): A prospective hospital-based radiological study in adult Sabah, East Malaysia.Scientific reports · 2026Article
- Coupling geometric morphometrics and machine learning for mandibular sex estimation in Late Pleistocene and Late Modern populations.Scientific reports · 2025Article
- Article
- Three-Dimensional Geometric Morphometric Characterization of Facial Sexual Dimorphism in Juveniles.Diagnostics (Basel, Switzerland) · 2025Article
- Article
- No Bones About It: Sex Is Binary.Archives of sexual behavior · 2024Article
- Sex estimation techniques based on skulls in forensic anthropology: A scoping review.PloS one · 2024Article
- Mapping sexual dimorphism signal in the human cranium.Scientific reports · 2023Article
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Authors and funding
6 authors.
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Abstract
The study of sexual dimorphism in human crania has important applications in the fields of human evolution and human osteology. Current, the identification of sex from cranial morphology relies on manual visual inspection of identifiable anatomical features, which can lead to bias due to user's expertise. We developed a landmark-based approach to automatically map the sexual dimorphism signal on the human cranium. We used a sex-known sample of 228 individuals from different geographical locations to identify which cranial regions are most sexually dimorphic taking into account shape, form and size. Our results, which align with standard protocols, show that glabellar and supraciliary regions, the mastoid process and the nasal region are the most sexually dimorphic traits (with an accuracy of 73%). The accuracy increased to 77% if they were considered together. Surprisingly the occipital external protuberance resulted to be not sexually dimorphic but mainly related to variations in size. Our approach here applied could be expanded to map other variable signals on skeletal morphology.
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