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A novel method for post-mortem interval estimation based on tissue nano-mechanics

Overview of attention for article published in International Journal of Legal Medicine, March 2019
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1 X user

Citations

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Readers on

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35 Mendeley
Title
A novel method for post-mortem interval estimation based on tissue nano-mechanics
Published in
International Journal of Legal Medicine, March 2019
DOI 10.1007/s00414-019-02034-z
Pubmed ID
Authors

Fabio De-Giorgio, Matteo Nardini, Federica Foti, Eleonora Minelli, Massimiliano Papi, Ernesto d’Aloja, Vincenzo L. Pascali, Marco De Spirito, Gabriele Ciasca

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 17%
Student > Postgraduate 5 14%
Student > Bachelor 3 9%
Researcher 2 6%
Professor 1 3%
Other 3 9%
Unknown 15 43%
Readers by discipline Count As %
Medicine and Dentistry 8 23%
Biochemistry, Genetics and Molecular Biology 4 11%
Arts and Humanities 2 6%
Physics and Astronomy 2 6%
Engineering 2 6%
Other 4 11%
Unknown 13 37%
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 14 June 2019.
All research outputs
#20,561,572
of 23,136,540 outputs
Outputs from International Journal of Legal Medicine
#1,572
of 2,094 outputs
Outputs of similar age
#302,559
of 351,782 outputs
Outputs of similar age from International Journal of Legal Medicine
#28
of 55 outputs
Altmetric has tracked 23,136,540 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,094 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% 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 351,782 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.