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Geometric morphometric and traditional methods for sex assessment using the posterior ilium

Overview of attention for article published in Legal Medicine, March 2017
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Title
Geometric morphometric and traditional methods for sex assessment using the posterior ilium
Published in
Legal Medicine, March 2017
DOI 10.1016/j.legalmed.2017.03.004
Pubmed ID
Authors

Rebeka Rmoutilová, Ján Dupej, Jana Velemínská, Jaroslav Brůžek

Abstract

The human hip bone is generally accepted as the most reliable bone for sex estimation in forensic and bioarchaeological disciplines. However, it is seldom completely preserved. The best preserved region is typically around the sacroiliac joint and its auricular surface; it is therefore surprising that this surface has not been involved in standard sexing methods. The aim of this study was to explore the shape and size sexual dimorphism of the auricular surface in detail and to compare its sex estimation accuracy using the geometric morphometric (GM) and traditional methodological approach. Our sample consisted of 121 specimens from 3 European osteological collections. The GM part of the study was based on 2D sliding semilandmarks that covered the outline of the auricular surface. Furthermore, several linear measurements and visual features (e.g. auricular surface elevation, postauricular sulcus) were chosen to test sex estimation accuracy using support vector machines. Concerning the GM analysis, the most notable sexual differences in the auricular surface outline relate to size. The best accuracy was achieved using form variables reaching 81.0%. Comparable accuracy (80.2%) was achieved using the metric approach, but combined with visual features the accuracy was increased to 93.4%. The GM approach was not very efficient in sexing the auricular surface outline, but the combination of visual features from the posterior ilium and metric variables of the auricular surface could be useful in sex estimation. Therefore, we provide a further testable linear discriminant equation based on this combination of variables.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 15%
Student > Ph. D. Student 7 13%
Student > Bachelor 6 11%
Lecturer 5 9%
Researcher 3 6%
Other 12 22%
Unknown 13 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 20%
Medicine and Dentistry 10 19%
Social Sciences 6 11%
Arts and Humanities 4 7%
Engineering 3 6%
Other 6 11%
Unknown 14 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 April 2018.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from Legal Medicine
#394
of 603 outputs
Outputs of similar age
#245,724
of 337,511 outputs
Outputs of similar age from Legal Medicine
#6
of 7 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 603 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.4. This one is in the 30th percentile – i.e., 30% of its peers scored the same or lower than it.
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