| Title |
Advancing estimation of chronological age by utilizing available evidence based on two radiographical methods
|
|---|---|
| Published in |
International Journal of Legal Medicine, May 2018
|
| DOI | 10.1007/s00414-018-1848-y |
| Pubmed ID | |
| Authors |
Øyvind Bleka, Torbjørn Wisløff, Pål Skage Dahlberg, Veslemøy Rolseth, Thore Egeland |
| Abstract |
This paper describes a strategy for estimating chronological age of individuals based on age indicators of X-ray of the hand and the third molar tooth. The great majority of studies in the field provide group-wise data of different formats, which makes them difficult to compare and utilize in a model. In this paper, we have provided a framework to utilize different types of data formats to build a common model for estimating chronological age. We used transition analysis to describe the relationship between the age indicators and chronological age. Further, likelihood ratio weight of evidence and posterior distribution of chronological age were used to model the distribution of chronological age given the observed age indicators. Being able to utilize such a large amount of data, with different data formats, from different studies, as presented in this paper improves previous age estimation methods. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 21% |
| Student > Bachelor | 3 | 16% |
| Student > Ph. D. Student | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Researcher | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 42% |
| Nursing and Health Professions | 1 | 5% |
| Social Sciences | 1 | 5% |
| Agricultural and Biological Sciences | 1 | 5% |
| Unknown | 8 | 42% |
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 07 May 2018.
All research outputs
#15,508,366
of 23,047,237 outputs
Outputs from International Journal of Legal Medicine
#977
of 2,091 outputs
Outputs of similar age
#208,964
of 327,928 outputs
Outputs of similar age from International Journal of Legal Medicine
#18
of 48 outputs
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