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Methods for determining time of death

Overview of attention for article published in Forensic Science, Medicine and Pathology, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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1 news outlet
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2 X users

Citations

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143 Dimensions

Readers on

mendeley
224 Mendeley
Title
Methods for determining time of death
Published in
Forensic Science, Medicine and Pathology, June 2016
DOI 10.1007/s12024-016-9776-y
Pubmed ID
Authors

Burkhard Madea

Abstract

Medicolegal death time estimation must estimate the time since death reliably. Reliability can only be provided empirically by statistical analysis of errors in field studies. Determining the time since death requires the calculation of measurable data along a time-dependent curve back to the starting point. Various methods are used to estimate the time since death. The current gold standard for death time estimation is a previously established nomogram method based on the two-exponential model of body cooling. Great experimental and practical achievements have been realized using this nomogram method. To reduce the margin of error of the nomogram method, a compound method was developed based on electrical and mechanical excitability of skeletal muscle, pharmacological excitability of the iris, rigor mortis, and postmortem lividity. Further increasing the accuracy of death time estimation involves the development of conditional probability distributions for death time estimation based on the compound method. Although many studies have evaluated chemical methods of death time estimation, such methods play a marginal role in daily forensic practice. However, increased precision of death time estimation has recently been achieved by considering various influencing factors (i.e., preexisting diseases, duration of terminal episode, and ambient temperature). Putrefactive changes may be used for death time estimation in water-immersed bodies. Furthermore, recently developed technologies, such as H magnetic resonance spectroscopy, can be used to quantitatively study decompositional changes. This review addresses the gold standard method of death time estimation in forensic practice and promising technological and scientific developments in the field.

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 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 224 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 50 22%
Researcher 21 9%
Student > Ph. D. Student 19 8%
Student > Master 16 7%
Student > Postgraduate 13 6%
Other 30 13%
Unknown 75 33%
Readers by discipline Count As %
Medicine and Dentistry 54 24%
Biochemistry, Genetics and Molecular Biology 26 12%
Chemistry 15 7%
Agricultural and Biological Sciences 9 4%
Pharmacology, Toxicology and Pharmaceutical Science 9 4%
Other 26 12%
Unknown 85 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 April 2022.
All research outputs
#3,135,905
of 24,217,893 outputs
Outputs from Forensic Science, Medicine and Pathology
#85
of 1,014 outputs
Outputs of similar age
#54,376
of 344,979 outputs
Outputs of similar age from Forensic Science, Medicine and Pathology
#4
of 20 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,014 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 91% of its peers.
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 344,979 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.