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Setting the light conditions for measuring root transparency for age-at-death estimation methods

Overview of attention for article published in International Journal of Legal Medicine, March 2017
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Title
Setting the light conditions for measuring root transparency for age-at-death estimation methods
Published in
International Journal of Legal Medicine, March 2017
DOI 10.1007/s00414-017-1582-x
Pubmed ID
Authors

Joe Adserias-Garriga, Laia Nogué-Navarro, Sara C. Zapico, Douglas H. Ubelaker

Abstract

Age-at-death estimation is one of the main goals in forensic identification, being an essential parameter to determine the biological profile, narrowing the possibility of identification in cases involving missing persons and unidentified bodies. The study of dental tissues has been long considered as a proper tool for age estimation with several age estimation methods based on them. Dental age estimation methods can be divided into three categories: tooth formation and development, post-formation changes, and histological changes. While tooth formation and growth changes are important for fetal and infant consideration, when the end of dental and skeletal growth is achieved, post-formation or biochemical changes can be applied. Lamendin et al. in J Forensic Sci 37:1373-1379, (1992) developed an adult age estimation method based on root transparency and periodontal recession. The regression formula demonstrated its accuracy of use for 40 to 70-year-old individuals. Later on, Prince and Ubelaker in J Forensic Sci 47(1):107-116, (2002) evaluated the effects of ancestry and sex and incorporated root height into the equation, developing four new regression formulas for males and females of African and European ancestry. Even though root transparency is a key element in the method, the conditions for measuring this element have not been established. The aim of the present study is to set the light conditions measured in lumens that offer greater accuracy when applying the Lamendin et al. method modified by Prince and Ubelaker. The results must be also taken into account in the application of other age estimation methodologies using root transparency to estimate age-at-death.

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The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Researcher 4 11%
Other 4 11%
Student > Master 4 11%
Student > Doctoral Student 2 6%
Other 6 17%
Unknown 11 31%
Readers by discipline Count As %
Medicine and Dentistry 11 31%
Agricultural and Biological Sciences 4 11%
Computer Science 2 6%
Biochemistry, Genetics and Molecular Biology 2 6%
Earth and Planetary Sciences 1 3%
Other 1 3%
Unknown 15 42%
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 09 February 2018.
All research outputs
#20,412,387
of 22,962,258 outputs
Outputs from International Journal of Legal Medicine
#1,562
of 2,078 outputs
Outputs of similar age
#269,302
of 308,953 outputs
Outputs of similar age from International Journal of Legal Medicine
#39
of 44 outputs
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