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The development of a post-mortem interval estimation for human remains found on land in the Netherlands

Overview of attention for article published in International Journal of Legal Medicine, November 2017
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  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

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Title
The development of a post-mortem interval estimation for human remains found on land in the Netherlands
Published in
International Journal of Legal Medicine, November 2017
DOI 10.1007/s00414-017-1700-9
Pubmed ID
Authors

H. T. Gelderman, L. Boer, T. Naujocks, A. C. M. IJzermans, W. L. J. M. Duijst

Abstract

The decomposition process of human remains can be used to estimate the post-mortem interval (PMI), but decomposition varies due to many factors. Temperature is believed to be the most important and can be connected to decomposition by using the accumulated degree days (ADD). The aim of this research was to develop a decomposition scoring method and to develop a formula to estimate the PMI by using the developed decomposition scoring method and ADD.A decomposition scoring method and a Book of Reference (visual resource) were made. Ninety-one cases were used to develop a method to estimate the PMI. The photographs were scored using the decomposition scoring method. The temperature data was provided by the Royal Netherlands Meteorological Institute. The PMI was estimated using the total decomposition score (TDS) and using the TDS and ADD. The latter required an additional step, namely to calculate the ADD from the finding date back until the predicted day of death.The developed decomposition scoring method had a high interrater reliability. The TDS significantly estimates the PMI (R (2) = 0.67 and 0.80 for indoor and outdoor bodies, respectively). When using the ADD, the R (2) decreased to 0.66 and 0.56.The developed decomposition scoring method is a practical method to measure decomposition for human remains found on land. The PMI can be estimated using this method, but caution is advised in cases with a long PMI. The ADD does not account for all the heat present in a decomposing remain and is therefore a possible bias.

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The data shown below were collected from the profiles of 4 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 193 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 193 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 53 27%
Student > Ph. D. Student 19 10%
Researcher 10 5%
Student > Master 10 5%
Lecturer 6 3%
Other 21 11%
Unknown 74 38%
Readers by discipline Count As %
Medicine and Dentistry 29 15%
Biochemistry, Genetics and Molecular Biology 25 13%
Social Sciences 11 6%
Agricultural and Biological Sciences 9 5%
Chemistry 7 4%
Other 23 12%
Unknown 89 46%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 April 2022.
All research outputs
#13,334,330
of 23,482,849 outputs
Outputs from International Journal of Legal Medicine
#686
of 2,112 outputs
Outputs of similar age
#158,312
of 332,023 outputs
Outputs of similar age from International Journal of Legal Medicine
#17
of 70 outputs
Altmetric has tracked 23,482,849 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,112 research outputs from this source. They receive a mean Attention Score of 4.6. This one has gotten more attention than average, scoring higher than 67% 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 332,023 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 70 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 74% of its contemporaries.