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University of Newcastle, Australia

Estimation of sex and stature using anthropometry of the upper extremity in an Australian population.

Overview of attention for article published in Forensic Science International, March 2018
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  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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47 Mendeley
Title
Estimation of sex and stature using anthropometry of the upper extremity in an Australian population.
Published in
Forensic Science International, March 2018
DOI 10.1016/j.forsciint.2018.03.017
Pubmed ID
Authors

Donna Howley, Peter Howley, Marc F Oxenham

Abstract

Stature and a further 8 anthropometric dimensions were recorded from the arms and hands of a sample of 96 staff and students from the Australian National University and The University of Newcastle, Australia. These dimensions were used to create simple and multiple logistic regression models for sex estimation and simple and multiple linear regression equations for stature estimation of a contemporary Australian population. Overall sex classification accuracies using the models created were comparable to similar studies. The stature estimation models achieved standard errors of estimates (SEE) which were comparable to and in many cases lower than those achieved in similar research. Generic, non sex-specific models achieved similar SEEs and R2 values to the sex-specific models indicating stature may be accurately estimated when sex is unknown.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 47 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 19%
Professor 4 9%
Student > Ph. D. Student 3 6%
Student > Master 2 4%
Researcher 2 4%
Other 4 9%
Unknown 23 49%
Readers by discipline Count As %
Medicine and Dentistry 8 17%
Chemistry 5 11%
Social Sciences 3 6%
Linguistics 2 4%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 25 53%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 23 May 2018.
All research outputs
#16,584,977
of 25,382,440 outputs
Outputs from Forensic Science International
#2,562
of 4,090 outputs
Outputs of similar age
#213,833
of 351,776 outputs
Outputs of similar age from Forensic Science International
#34
of 72 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,090 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one is in the 36th percentile – i.e., 36% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 351,776 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.